Tootfinder

In an email to subscribers, Hulu says the company changed its subscriber agreement to bar sharing of accounts outside the user's household (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Hulu Set to Begin Password-Sharing Crackdown, Following Disney+
The Disney-owned streaming service changed its subscriber agreement to ban sharing of accounts outside of individual households.

(I am thinking mostly of travel assistance given by individual meetings; support given by the student's home institution are a slightly different case.)

In an email to subscribers, Hulu says the company changed its subscriber agreement to bar sharing of accounts outside the user's household (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Hulu Set to Begin Password-Sharing Crackdown, Following Disney+
The Disney-owned streaming service changed its subscriber agreement to ban sharing of accounts outside of individual households.

I'm curious how long #bladesInTheDark campaigns have been for people.
We're reaching our 4th (?) year of our campaign. I don't think any of the original player characters are still around. We've definitely butted up against some of the limits of the system for long campaigns and had to introduce some house rules to cap the power of any individual player character.

For those of you who will still be there at #DHd2024 on Friday morning: if you want to know how to implement a #knowledgegraph based research data ecosystem (not only) for @nfdi4culture, please come and listen to our presentation on "Communities, Harvesting, and CGIF: Building the Research…

50% has 2% ?
I'm going to need some citations on that, Stein.
My guess is she's summing individual "net worth"s. That's misleading at best. I think I have a positive n.w. now, but that line was crossed relatively recently and yet I have never been poor.
#FreeAndEqual

Preface: sorry this is rambling, my POINT is that not only is hindsight 20/20, and yes institutions not only botched this, they were actively interfered with, in particular here in the US, by Donald Trump who used it as an opportunity to fucking showboat being a racist shit.
NO individual should feel bad for having missed the storm warnings. (1/3)

Grading the Cowboys 8 picks from the 2024 NFL draft https://cowboyswire.usatoday.com/lists/cowboys-2024-nfl-draft-individual-pick-grades/

Grading the Cowboys 8 picks from the 2024 NFL draft
Giving each individual prospect a post-draft grade, along with scoring the haul as a whole. | From @Larimore_Ben

👁️ EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning
(... reminds of that movie Looker)
#ai

EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning
From a visual perception perspective, modern graphical user interfaces (GUIs) comprise a complex graphics-rich two-dimensional visuospatial arrangement of text, images, and interactive objects such as buttons and menus. While existing models can accurately predict regions and objects that are likely to attract attention ``on average'', so far there is no scanpath model capable of predicting scanpaths for an individual. To close this gap, we introduce EyeFormer, which leverages a Transformer arc…

'The Art of Asking'. This is a call for papers for what looks like a really interesting conference in Utrecht, The Netherlands on the political economies of patronage in the cultural sector, past and present.
https://mecenaatstudies.sites.uu.nl/call-for-proposals/<…

Call for proposals
Call for proposals: The art of asking. Strategies of patronage solicitation through the ages in music, literature, visual arts, and intellectual culture Deadline: 15 April 2024 One-day conference, Utrecht University, The NetherlandsFriday November 15, 2024 In many European countries, the cultural sector is working towards establishing a (renewed) tradition of cultural patronage. Across the EU, individual makers are experimenting with building a community of private donors through crowdfunding p…

The President of France - Emmanuel Macron - Insisting that if Europe, including all its individual members including France, are sovereign, then Europe cannot hang their security on the results of an American Election.
With rumours of “troops" not of Ukrainian or NATO origin, being considered to go to Ukraine... this is certainly a strong statement of both worry, and resolve.
I would be interested to know what Putin thinks of it.

Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
Jaisidh Singh, Ishaan Shrivastava, Mayank Vatsa, Richa Singh, Aparna Bharati
https://arxiv.org/abs/2403.20312

Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
Existing vision-language models (VLMs) treat text descriptions as a unit, confusing individual concepts in a prompt and impairing visual semantic matching and reasoning. An important aspect of reasoning in logic and language is negations. This paper highlights the limitations of popular VLMs such as CLIP, at understanding the implications of negations, i.e., the effect of the word "not" in a given prompt. To enable evaluation of VLMs on fluent prompts with negations, we present CC-Neg, a datase…

Bias Mitigation via Compensation: A Reinforcement Learning Perspective
Nandhini Swaminathan, David Danks
https://arxiv.org/abs/2404.19256 https://

Bias Mitigation via Compensation: A Reinforcement Learning Perspective
As AI increasingly integrates with human decision-making, we must carefully consider interactions between the two. In particular, current approaches focus on optimizing individual agent actions but often overlook the nuances of collective intelligence. Group dynamics might require that one agent (e.g., the AI system) compensate for biases and errors in another agent (e.g., the human), but this compensation should be carefully developed. We provide a theoretical framework for algorithmic compens…

Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference
Mahsa Ashouri, Nicholas C. Henderson
https://arxiv.org/abs/2402.17920

Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference
Prediction methods for time-to-event outcomes often utilize survival models that rely on strong assumptions about noninformative censoring or on how individual-level covariates and survival functions are related. When the main interest is in predicting individual-level restricted mean survival times (RMST), reliance on such assumptions can lead to poor predictive performance if these assumptions are not satisfied. We propose a generalized Bayes framework that avoids full probability modeling of…

Transform Dialect Tutorial
Oleksandr Zinenko
https://arxiv.org/abs/2404.19350 https://arxiv.org/pdf/2404.19350

Transform Dialect Tutorial
Transform Dialect in MLIR provides operations that can be used to control transformation of the Intermediate Representation (IR) using a different portion of the IR. It refers to the IR being transformed as payload IR, and to the IR guiding the transformation as transform IR. The main use case for this dialect is orchestrating fine-grain transformations on individual IR objects (operations or values) or sets thereof. For example, it may involve finding loop-like operations with specific prope…

A simple model of global cascades on random hypergraphs
Lei Chen, Yanpeng Zhu, Zhongyuan Ruan, Run-Ran Liu, Fanyuan Meng
https://arxiv.org/abs/2402.18850 h…

A simple model of global cascades on random hypergraphs
This study investigates the dynamics of social contagion within hypergraphs, reflecting the modern intricacies of group influence on individual decision-making as magnified by social media platforms. We introduce a novel social contagion model that captures the nuanced interplay between individual caution in decision-making (\(ϕ_k\)) and the efficiency of information transmission within group interactions (\(ϕ_m\)). By integrating dual-threshold mechanisms, our model delineates the conditions…

I'm going to be on an article where they refer to the h-index in a non-critical way AND use it to indicate the impact of a bibliography rather than an individual as well...
🤦‍♀️

CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas K\"uhl
https://arxiv.org/abs/2402.19105

CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
In the landscape of generative artificial intelligence, diffusion-based models present challenges for socio-technical systems in data requirements and privacy. Traditional approaches like federated learning distribute the learning process but strain individual clients, especially with constrained resources (e.g., edge devices). In response to these challenges, we introduce CollaFuse, a novel framework inspired by split learning. Tailored for efficient and collaborative use of denoising diffusio…

If you’re an #HIVPositive #TransFem individual, you could earn up to $850 from #EmoryUniversity.

Transverse asymmetry of individual $\gamma$-rays in the $^{139}$La($\vec{n}$, $\gamma$)$^{140}$La reaction
M. Okuizumi, C. J. Auton, S. Endo, H. Fujioka, K. Hirota, T. Ino, K. Ishizaki, A. Kimura, M. Kitaguchi, J. Koga, S. Makise, Y. Niinomi, T. Oku, T. Okudaira, K. Sakai, T. Shima, H. M. Shimizu, H. Tada, S. Takada, S. Takahashi, Y. Tani, T. Yamamoto, H. Yoshikawa, T. Yoshioka

Transverse asymmetry of individual $γ$-rays in the $^{139}$La($\vec{n}$, $γ$)$^{140}$La reaction
The enhancement of the parity-violating asymmetry in the vicinity of $p$-wave compound nuclear resonances was observed for a variety of medium-heavy nuclei. The enhanced parity-violating asymmetry can be understood using the $s$-$p$ mixing model. The $s$-$p$ mixing model predicts several neutron energy-dependent angular correlations between the neutron momentum $\vec k_n$, neutron spin $\vecσ_n$, $γ$-ray momentum $\vec k_γ$, and $γ$-ray polarization $\vecσ_γ$ in the $(n,γ)$ reaction. In …

The Downtown Nasty Women Social Group is a grassroots community of activists working together to make positive change in people’s every day lives.
We believe that the strongest America is one that values the freedom, equality, and safety of each individual regardless of gender, sexual orientation, race, religion, ethnicity, or immigration status.
https://

This https://arxiv.org/abs/2311.17693 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Robotic-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems lack the ability to accommodate the unique preferences and requirements of individual surgeons. Additionally, they primarily focus on general surgeries (e.g., laparoscopy) and are not suitable for highly precise microsurgeries, such as ophthalmic procedures. Thus, we propose a simulation-based image-guided approach for surgeon-centered …

Learning or Self-aligning? Rethinking Instruction Fine-tuning
Mengjie Ren, Boxi Cao, Hongyu Lin, Liu Cao, Xianpei Han, Ke Zeng, Guanglu Wan, Xunliang Cai, Le Sun
https://arxiv.org/abs/2402.18243

Learning or Self-aligning? Rethinking Instruction Fine-tuning
Instruction Fine-tuning~(IFT) is a critical phase in building large language models~(LLMs). Previous works mainly focus on the IFT's role in the transfer of behavioral norms and the learning of additional world knowledge. However, the understanding of the underlying mechanisms of IFT remains significantly limited. In this paper, we design a knowledge intervention framework to decouple the potential underlying factors of IFT, thereby enabling individual analysis of different factors. Surprisingl…

Given the rather sloppy headlines about what “Wordpress” is planning to do with allowing AI systems to collect user data, I will point out:
- All the references to Wordpress refer to Wordpress.com, the hosting company whose parent company is Automattic. They do not refer to Wordpress the open source software project.
- Wordpress.com has published a blog post outlining their policies so that you don’t need to rely on speculative and vaguely alarming news articles

More Control Over the Content You Share
There are currently very few options for individual users to control how their content is used for AI training, and we want to change that. That’s why we’re launching a new tool that lets you opt o…

Something I wrote a few years ago in an explainer of #AI from the from the perspective of democracy, rights and governance.
https://www.civicspace.tech/technologies/machine-lea…

Conservation Laws For Every Quantum Measurement Outcome
Daniel Collins, Sandu Popescu
https://arxiv.org/abs/2404.18621 https://arxiv.…

Conservation Laws For Every Quantum Measurement Outcome
In the paradigmatic example of quantum measurements, whenever one measures a system which starts in a superposition of two states of a conserved quantity, it jumps to one of the two states, implying different final values for the quantity that should have been conserved. The standard law of conservation for quantum mechanics handles this jump by stating only that the total distribution of the conserved quantity over repeated measurements is unchanged, but states nothing about individual cases. …

"Today marks a significant milestone as the Bill & Melinda Gates Foundation (BMGF) announces a new Open Access policy, representing a departure from traditional practices. This policy will cease support for individual article publishing fees, known as APCs, and mandate the use of preprints while advocating for their review." So Bill Gates reformulates his old saying "banking is necessary, banks are not" for scholarly publishing.

GenAI is rapidly transforming organisations. But how do we scale from individual experiments to enterprise-grade business products? Join Sebastian Arnold at this year's Berlin Buzzwords as he discusses insights from hundreds of use cases in the pharmaceutical industry on user intentions, information access patterns and quality metrics. #bbuzz

Individual particle approach to the diffusive shock acceleration. Effect of the non-uniform flow velocity downstream of the shock
O. Petruk, T. Kuzyo
https://arxiv.org/abs/2404.17397

Individual particle approach to the diffusive shock acceleration. Effect of the non-uniform flow velocity downstream of the shock
The momentum distribution of particles accelerated at strong non-relativistic shocks may be influenced by the spatial distribution of the flow speed around the shock. This phenomenon becomes evident in the cosmic-ray modified shock, where the particle spectrum itself determines the flow velocity profile upstream. However, what if the flow speed is not uniform downstream as well? Hydrodynamics indicates that its spatial variation over the length scales involved in the acceleration of particles i…

GenAI Distortion: The Effect of GenAI Fluency and Positive Affect
Xiantong Yang, Mengmeng Zhang
https://arxiv.org/abs/2404.17822 https://

GenAI Distortion: The Effect of GenAI Fluency and Positive Affect
The introduction of generative artificial intelligence (GenAI) into educational practices has been transformative, yet it brings a crucial concern about the potential distortion of users' beliefs. Given the prevalence of GenAI among college students, examining the psychological mechanisms that lead to GenAI distortion from both technological factors and the individual's psychological processes is a critical priority. A mixed-methods approach is employed to test the proposed hypotheses. Study 1 …

This https://arxiv.org/abs/2402.16016 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Complexity of Manipulation and Bribery in Premise-Based Judgment Aggregation with Simple Formulas
Judgment aggregation is a framework to aggregate individual opinions on multiple, logically connected issues into a collective outcome. These opinions are cast by judges, which can be for example referees, experts, advisors or jurors, depending on the application and context. It is open to manipulative attacks such as \textsc{Manipulation} where judges cast their judgments strategically. Previous works have shown that most computational problems corresponding to these manipulative attacks are \…

Compute-Forward Multiple Access for Gaussian Fast Fading Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
https://arxiv.org/abs/2404.19468 https://

Compute-Forward Multiple Access for Gaussian Fast Fading Channels
Compute-forward multiple access (CFMA) is a transmission strategy which allows the receiver in a multiple access channel (MAC) to first decode linear combinations of the transmitted signals and then solve for individual messages. Compared to existing MAC strategies such as joint decoding or successive interference cancellation (SIC), CFMA was shown to achieve the MAC capacity region for fixed channels under certain signal-to-noise (SNR) conditions without time-sharing using only single-user dec…

This https://arxiv.org/abs/2312.14388 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
The shuffle model of local differential privacy is an advanced method of privacy amplification designed to enhance privacy protection with high utility. It achieves this by randomly shuffling sensitive data, making linking individual data points to specific individuals more challenging. However, most existing studies have focused on the shuffle model based on $(ε_0,0)$-Locally Differentially Private (LDP) randomizers, with limited consideration for complex scenarios such as $(ε_0,δ_0)$-LDP o…

This https://arxiv.org/abs/2310.14882 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On a Markov chain related to the individual lengths in the recursive construction of Kingman's coalescent
Kingman's coalescent is a widely used process to model sample genealogies in population genetics. Recently there have been studies on the inference of quantities related to the genealogy of additional individuals given a known sample. This paper explores the recursive (or sequential) construction which is a natural way of enlarging the sample size by adding individuals one after another to the sample genealogy via individual lineages to construct the Kingman's coalescent. Although the process o…

This https://arxiv.org/abs/2403.11624 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Dual-Channel Multiplex Graph Neural Networks for Recommendation
Efficient recommender systems play a crucial role in accurately capturing user and item attributes that mirror individual preferences. Some existing recommendation techniques have started to shift their focus towards modeling various types of interaction relations between users and items in real-world recommendation scenarios, such as clicks, marking favorites, and purchases on online shopping platforms. Nevertheless, these approaches still grapple with two significant shortcomings: (1) Insuffi…

Direct measure of DNA bending by quantum magnetic imaging of a nano-mechanical torque-balance
Zeeshawn Kazi, Isaac M. Shelby, Ruhee Nirodi, Joseph Turnbull, Hideyuki Watanabe, Kohei M. Itoh, Paul A. Wiggins, Kai-Mei C. Fu
https://arxiv.org/abs/2402.17964

Direct measure of DNA bending by quantum magnetic imaging of a nano-mechanical torque-balance
DNA flexibility is a key determinant of biological function, from nucleosome positioning to transcriptional regulation, motivating a direct measurement of the bend-torque response of individual DNA molecules. In this work, DNA bending is detected using a nano-mechanical torque balance formed by tethering a ferromagnetic nanoparticle probe by an individual DNA molecule to a diamond magnetic field imager. The torque exerted by the DNA in response to bending caused by an applied magnetic torque is…

Flux Quantization
Hisham Sati, Urs Schreiber
https://arxiv.org/abs/2402.18473 https://arxiv.org/pdf/2402.18473

Flux Quantization
Flux- and charge-quantization laws for higher gauge fields of Maxwell type -- e.g. the common electromagnetic field (the "A-field") but also the B-, RR-, and C-fields considered in string/M-theory -- specify non-perturbative completions of these fields by encoding their solitonic behaviour and hence by specifying the discrete charges carried by the individual branes (higher-dimensional monopoles or solitons) that source the field fluxes. This article surveys the general (rational-)homotopy th…

This https://arxiv.org/abs/2301.02368 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Emergence of simple and complex contagion dynamics from weighted belief networks
Social contagion is a ubiquitous and fundamental process that drives individual and social changes. Although social contagion arises as a result of cognitive processes and biases, the integration of cognitive mechanisms with the theory of social contagion remains an open challenge. In particular, studies on social phenomena usually assume contagion dynamics to be either simple or complex, rather than allowing it to emerge from cognitive mechanisms, despite empirical evidence indicating that a s…

Neuro-Vision to Language: Image Reconstruction and Interaction via Non-invasive Brain Recordings
Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
https://arxiv.org/abs/2404.19438

Neuro-Vision to Language: Image Reconstruction and Interaction via Non-invasive Brain Recordings
Decoding non-invasive brain recordings is crucial for advancing our understanding of human cognition, yet faces challenges from individual differences and complex neural signal representations. Traditional methods require custom models and extensive trials, and lack interpretability in visual reconstruction tasks. Our framework integrating integrates 3D brain structures with visual semantics by Vision Transformer 3D. The unified feature extractor aligns fMRI features with multiple levels of vis…

EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
Niklas Kueper, Su Kyoung Kim, Elsa Andrea Kirchner
https://arxiv.org/abs/2402.17790 …

EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
Background: For an individualized support of patients during rehabilitation, learning of individual machine learning models from the human electroencephalogram (EEG) is required. Our approach allows labeled training data to be recorded without the need for a specific training session. For this, the planned exoskeleton-assisted rehabilitation enables bilateral mirror therapy, in which movement intentions can be inferred from the activity of the unaffected arm. During this therapy, labeled EEG da…

This https://arxiv.org/abs/2403.17704 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Prioritize Team Actions: Multi-Agent Temporal Logic Task Planning with Ordering Constraints
In this paper, we investigate the problem of linear temporal logic (LTL) path planning for multi-agent systems, introducing the new concept of \emph{ordering constraints}. Specifically, we consider a generic objective function that is defined for the path of each individual agent. The primary objective is to find a global plan for the team of agents, ensuring they collectively meet the specified LTL requirements. Simultaneously, we aim to maintain a pre-determined order in the values of the obj…

This https://arxiv.org/abs/2311.11156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Collaborative Safe Formation Control for Coupled Multi-Agent Systems
The safe control of multi-robot swarms is a challenging and active field of research, where common goals include maintaining group cohesion while simultaneously avoiding obstacles and inter-agent collision. Building off our previously developed theory for distributed collaborative safety-critical control for networked dynamic systems, we propose a distributed algorithm for the formation control of robot swarms given individual agent dynamics, induced formation dynamics, and local neighborhood p…

Still a lot of cool utilitarian architecture all over LA. I love how the windows reflect the sunlight on this one.
#architecture #urbanphotography #losangeles

This https://arxiv.org/abs/2308.06760 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Diquarks and the production of charmed baryons
Utilizing a quark model characterized by parameters that effectively replicate the masses of ground state hadrons, we illustrate that $(us)$ or $(ds)$ diquarks exhibit greater compactness in comparison to $(ud)$ diquarks. Concretely, the binding energy of the $(us)$ diquark - defined as the diquark's mass minus the combined masses of its individual quarks - is found to be stronger than that of the $(ud)$ diquark. This heightened attraction present in $(us)$ diquarks could lead to enhanced produ…

An explicit description for quiver Grassmannians of the Kronecker quiver
Ulysses Alvarez, Kyungyong Lee
https://arxiv.org/abs/2403.19804 https://

An explicit description for quiver Grassmannians of the Kronecker quiver
It is an open problem to find cell decompositions of quiver Grassmannians associated to each cluster variable. We initiate a new approach to this problem by giving an explicit description for each individual subrepresentation. In this paper, we illustrate our approach for the Kronecker quiver.

Unrevealing the existence of nontensorial gravitational-wave polarizations from individual supermassive black hole binaries with pulsar timing arrays
Dicong Liang, Siyuan Chen, Chao Zhang, Lijing Shao
https://arxiv.org/abs/2404.16680

Unrevealing the existence of nontensorial gravitational-wave polarizations from individual supermassive black hole binaries with pulsar timing arrays
With the strong evidence for a gravitational wave (GW) background in the nanohertz frequency band from pulsar timing arrays, the detection of continuous GWs from individual supermassive black hole binaries is already at the dawn. Utilizing continuous GWs to test theories of gravity, especially to test the polarizations of GWs is becoming more and more realistic. In this theoretical study, assuming a detection of signals from individual supermassive binary black holes, we use the null stream to …

"... the attention pattern of a single layer can be ``nearly randomized'', while preserving the functionality of the network. We also show via extensive experiments that these constructions are not merely a theoretical artifact: even after severely constraining the architecture of the model, vastly different solutions can be reached via standard training."

This https://arxiv.org/abs/2302.11952 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDM_…

Simultaneous Drawing of Layered Trees
We study the crossing-minimization problem in a layered graph drawing of planar-embedded rooted trees whose leaves have a given total order on the first layer, which adheres to the embedding of each individual tree. The task is then to permute the vertices on the other layers (respecting the given tree embeddings) in order to minimize the number of crossings. While this problem is known to be NP-hard for multiple trees even on just two layers, we describe a dynamic program running in polynomial…

The President of France - Emmanuel Macron - Insisting that if Europe, including all its individual members including France, are sovereign, then Europe cannot hang their security on the results of an American Election.
With rumours of “troops" not of Ukrainian or NATO origin, being considered to go to Ukraine... this is certainly a strong statement of both worry, and resolve.
I would be interested to know what Putin thinks of it.

Network Intent Decomposition and Optimization for Energy-Aware Radio Access Network
Yao Wang, Yijun Yu, Yexing Li, Dong Li, Xiaoxue Zhao, Chungang Yang
https://arxiv.org/abs/2404.18386

Network Intent Decomposition and Optimization for Energy-Aware Radio Access Network
With recent advancements in the sixth generation (6G) communication technologies, more vertical industries have encountered diverse network services. How to reduce energy consumption is critical to meet the expectation of the quality of diverse network services. In particular, the number of base stations in 6G is huge with coupled adjustable network parameters. However, the problem is complex with multiple network objectives and parameters. Network intents are difficult to map to individual net…

This https://arxiv.org/abs/2310.16078 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Identifying bimodality in data using a proximity-based null model with an application to classifying cell cycle phases using oxidative stress
Detecting communities in large complex networks has found a wide range of applications in physical, biological, and social sciences by identifying mesoscopic groups based on the links between individual units. Moreover, community detection approaches have been generalized to various data analysis tasks by constructing networks whose links depend on individual units' measurements. However, identifying well-separated subpopulations in data sets, e.g., multimodality, still presents challenges as b…

Methods for the detection of stellar rotation periods in individual TESS sectors and results from the Prime mission
Isabel L. ColmanLucy, Ruth AngusLucy, Trevor DavidLucy, Jason CurtisLucy, Soichiro HattoriLucy, YuxiLucy, Lu
https://arxiv.org/abs/2402.14954

Methods for the detection of stellar rotation periods in individual TESS sectors and results from the Prime mission
For ongoing studies of the role of rotation in stellar evolution, we require large catalogs of rotation periods for testing and refining gyrochronology. While there is a wealth of data from the Kepler and K2 missions, TESS presents both an opportunity and a challenge: despite its all-sky coverage, rotation periods remain hard to detect. We analyzed individual TESS sectors to detect short-period stellar rotation, using only parameters measured from light curves for a robust and unbiased method o…

This https://arxiv.org/abs/1603.03141 has been replaced.
link: https://scholar.google.com/scholar?q=a

Calibrar: an R package for fitting complex ecological models
The fitting or parameter estimation of complex ecological models is a challenging optimisation task, with a notable lack of tools for fitting complex, long runtime or stochastic models. calibrar is an R package that is dedicated to the fitting of complex models to data. It is a generic tool that can be used for any type of model, especially those with non-differentiable objective functions and long runtime, including Individual Based Models. calibrar supports multiple phases and constrained opt…

CHEX-MATE: Robust reconstruction of temperature profiles in galaxy clusters with XMM-Newton
M. Rossetti, D. Eckert, F. Gastaldello, E. Rasia, G. W. Pratt, S. Ettori, S. Molendi, M. Arnaud, M. Balboni, I. Bartalucci, R. M. Batalha, S. Borgani, H. Bourdin, S. De Grandi, F. De Luca, M. De Petris, W. Forman, M. Gaspari, S. Ghizzardi, A. Iqbal, S. Kay, L. Lovisari, B. J. Maughan, P. Mazzotta, E. Pointecouteau, G. Riva, J. Sayers, M. Sereno

CHEX-MATE: Robust reconstruction of temperature profiles in galaxy clusters with XMM-Newton
The "Cluster HEritage project with \xmm: Mass Assembly and Thermodynamics at the Endpoint of structure formation" (CHEX-MATE) is a multi-year Heritage program, to obtain homogeneous XMM-Newton observations of a representative sample of 118 galaxy clusters. The observations are tuned to reconstruct the distribution of the main thermodynamic quantities of the ICM up to $R_{500}$ and to obtain individual mass measurements, via the hydrostatic-equilibrium equation, with a precision of 15-20%. Tempe…

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models
Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang
https://arxiv.org/abs/2403.20194

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models
This paper presents ConvBench, a novel multi-turn conversation evaluation benchmark tailored for Large Vision-Language Models (LVLMs). Unlike existing benchmarks that assess individual capabilities in single-turn dialogues, ConvBench adopts a three-level multimodal capability hierarchy, mimicking human cognitive processes by stacking up perception, reasoning, and creativity. Each level focuses on a distinct capability, mirroring the cognitive progression from basic perception to logical reasoni…

I've been reading "On Green” (https://joecarlsmith.com/2024/03/21/on-green) and its following article, “On Attunement” with some interest today. I am uninterested in the ways he is focused on “AGI”, but that might actually be part of what he's saying and missing.
They talk about the philosophy of green in the "magic the gathering" sense, which has five core modes of things, and being a game, designed to balance. It's an attractive system and not without merit as a philosophical labeling system. In short: white, moral; blue, knowledge and rationality; red, passion and desire; black, power and achievement. And green. Green is the subject they can't identify clearly.
I don't think they really understand green. (They come from a very rationalist place, and that's not a good mode to understand Green)
Green is the domain of systems thinking and of ecology. It's one of flexible boundaries and hierarchies that vanish when you look at them for long. They talk about philosophical agents and try to fit a green philosophical stance into that framework, but it misses: the very idea of a self is nebulous in a green philosophy. Yes, it obviously exists, we are all separate from each other. But also we are inseparable from each other. Green is a philosophy of relationality and multiple perspectives and ever shifting viewpoints. It's not just yin, passive, permissive, but holistic. It's not that it lets the Other in, it's that it actively is in relation with the Other. The other is the self, the self is the other.
The essays also label green as conservative, and this is not quite true. It is not about being slow or regressive or traditional, but about being whole. They can't quite see that green's willingness to accept death and pain as things that happen and also its strong preservationist stance are not opposed to each other. It seems incoherent, but it's not: death and pain are things that happen to living parts of an ecosystem. They matter, but so too does the whole matter. Where so many blue rationalists see statistical and demographic counts of deaths and "sentient beings harmed”, green sees a whole ecosystem where some of that is deeply natural. It's unnatural, ecosystem-harming deaths that are disasters in the green philosophy. Wholesale extinctions. Protracted, painful deaths, as much for the wound they cause outside the individual as the individual suffering as well. But we all come to an end, and to change that wholesale would end so many kinds of relationship, so many things.
Green revels in the illegible, the incomplete, and the connected. It's easy to be green-blind, to ignore the subtle systemic effects. So many of us want simple cause and effect, rather than action and plurality of reactions.
Green's ability to embrace the illegible lets it deal with Red chaos; its resilience tempers red passion. It can ally with White philosophies into a pastoral, conservative, moralistic framework. It ends up at odds with the rationalist Blue and the power-hungry Black, because they drive disequilibrium, but more than just transition to new stable ecologies, they drive systems permanently out of stability, destroying relationships in their path. When confronted with this, they will deny it because the objects are still there. Preserved. Catalogued. Legible and accounted for. Perhaps used instrumentally. Perhaps wrecked for some "greater purpose” but only acknowledged as objects. The relationships between things remain illegible.

Testing for common structures in high-dimensional factor models
Marie-Christine D\"uker, Vladas Pipiras
https://arxiv.org/abs/2403.19818 https://

Testing for common structures in high-dimensional factor models
This work proposes a novel procedure to test for common structures across two high-dimensional factor models. The introduced test allows to uncover whether two factor models are driven by the same loading matrix up to some linear transformation. The test can be used to discover inter individual relationships between two data sets. In addition, it can be applied to test for structural changes over time in the loading matrix of an individual factor model. The test aims to reduce the set of possib…

While I'm commuting home from the office, I'm just browsing a bit in the photos from my last hikes.
This one made me smile as it reminds me of the first snow hike in the season. I was surprised by the amount of snow and wind, but that also made it a really great experience.
But it also meant returning earlier than planned initially. Safety in winter is always number 1 priority.
#nature

This https://arxiv.org/abs/2309.15432 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

ComPile: A Large IR Dataset from Production Sources
Code is increasingly becoming a core data modality of modern machine learning research impacting not only the way we write code with conversational agents like OpenAI's ChatGPT, Google's Bard, or Anthropic's Claude, the way we translate code from one language into another, but also the compiler infrastructure underlying the language. While modeling approaches may vary and representations differ, the targeted tasks often remain the same within the individual classes of models. Relying solely on …

Self-Propelled Collective Motion with Multiplicative Scalar Noise
Fatemeh Haghsheno, Mohammad Mehrafarin
https://arxiv.org/abs/2404.18675 https://

Self-Propelled Collective Motion with Multiplicative Scalar Noise
The emergence of order from initial disordered movement in self-propelled collective motion is an instance of nonequilibrium phase transition, which is known to be first order in the thermodynamic limit. Here, we introduce a multiplicative scalar noise model of collective motion as a modification of the original Vicsek model, which more closely mimics the particles' behavior. We allow for more individual movement in sparsely populated neighborhoods, the mechanism of which is not incorporated in…

This https://arxiv.org/abs/2302.01038 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Stable bubble formations in a Hele-Shaw channel
Deformable bubbles propagated by the flow of a viscous liquid in a planar Hele-Shaw channel of uniform depth tend to travel steadily along the channel's streamwise axis and pairs of neighbouring bubbles will either separate or coalesce because an individual bubble's propagation speed increases monotonically with its size. Thus, any group of bubbles will eventually rearrange itself in order of decreasing size and all of the bubbles will separate. We show that, by introducing a small geometric pe…

Ceanothus? NO!!!!! A EANOTHUS!!!!!!!!!!!!!!1111112 😍😍😍
#BloomScrolling #CaliforniaNatives #CultOfCeanothus

Understanding the Career Mobility of Blind and Low Vision Software Professionals
Yoonha Cha, Victoria Jackson, Isabela Figueira, Stacy M. Branham, Andr\'e van der Hoek
https://arxiv.org/abs/2404.17036

Understanding the Career Mobility of Blind and Low Vision Software Professionals
Context: Scholars in the software engineering (SE) research community have investigated career advancement in the software industry. Research topics have included how individual and external factors can impact career mobility of software professionals, and how gender affects career advancement. However, the community has yet to look at career mobility from the lens of accessibility. Specifically, there is a pressing need to illuminate the factors that hinder the career mobility of blind and low…

This https://arxiv.org/abs/2010.11254 has been replaced.
link: https://scholar.google.com/scholar?q=a

STARFORGE: Toward a comprehensive numerical model of star cluster formation and feedback
We present STARFORGE (STAR FORmation in Gaseous Environments): a new numerical framework for 3D radiation MHD simulations of star formation that simultaneously follow the formation, accretion, evolution, and dynamics of individual stars in massive giant molecular clouds (GMCs) while accounting for stellar feedback, including jets, radiative heating and momentum, stellar winds, and supernovae. We use the GIZMO code with the MFM mesh-free Lagrangian MHD method, augmented with new algorithms for g…

Hawaii's Supreme Court Insists There Is No Individual Right to Arms
https://reason.com/2024/02/08/hawaiis-supreme-court-insists-there-is-no-individual-right-to-arms/

Hawaii's Supreme Court Insists There Is No Individual Right to Arms
Rejecting a challenge to the state's strict gun laws, the court is openly contemptuous of Second Amendment precedents.

This https://arxiv.org/abs/2311.17693 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Robotic-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems lack the ability to accommodate the unique preferences and requirements of individual surgeons. Additionally, they primarily focus on general surgeries (e.g., laparoscopy) and are not suitable for highly precise microsurgeries, such as ophthalmic procedures. Thus, we propose a simulation-based image-guided approach for surgeon-centered …

Optimal Treatment Allocation under Constraints
Torben S. D. Johansen
https://arxiv.org/abs/2404.18268 https://arxiv.org/pdf/2404.1826…

Optimal Treatment Allocation under Constraints
In optimal policy problems where treatment effects vary at the individual level, optimally allocating treatments to recipients is complex even when potential outcomes are known. We present an algorithm for multi-arm treatment allocation problems that is guaranteed to find the optimal allocation in strongly polynomial time, and which is able to handle arbitrary potential outcomes as well as constraints on treatment requirement and capacity. Further, starting from an arbitrary allocation, we show…

Molecular Gas and the Star Formation Process on Cloud Scales in Nearby Galaxies
Eva Schinnerer, Adam K. Leroy
https://arxiv.org/abs/2403.19843 https://

Molecular Gas and the Star Formation Process on Cloud Scales in Nearby Galaxies
Observations that resolve nearby galaxies into individual regions across multiple phases of the gas-star formation-feedback ``matter cycle'' have provided a sharp new view of molecular clouds, star formation efficiencies, timescales for region evolution, and stellar feedback. We synthesize these results, cover aspects relevant to the interpretation of observables, and conclude that: (1) The observed cloud-scale molecular gas surface density, line width, and internal pressure all reflect the l…

This https://arxiv.org/abs/2303.06183 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Efficient simulation of individual-based population models: the R Package IBMPopSim
The R Package IBMPopSim aims to simulate the random evolution of heterogeneous populations using stochastic Individual-Based Models (IBMs). The package enables users to simulate population evolution, in which individuals are characterized by their age and some characteristics, and the population is modified by different types of events, including births/arrivals, death/exit events, or changes of characteristics. The frequency at which an event can occur to an individual can depend on their ag…

Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification
Peng Tang, Tobias Lasser
https://arxiv.org/abs/2403.19203

Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification
In this study, we introduce a multi-modal approach that efficiently integrates multi-scale clinical and dermoscopy features within a single network, thereby substantially reducing model parameters. The proposed method includes three novel fusion schemes. Firstly, unlike current methods that usually employ two individual models for for clinical and dermoscopy modalities, we verified that multimodal feature can be learned by sharing the parameters of encoder while leaving the individual modal-s…

"Today marks a significant milestone as the Bill & Melinda Gates Foundation (BMGF) announces a new Open Access policy, representing a departure from traditional practices. This policy will cease support for individual article publishing fees, known as APCs, and mandate the use of preprints while advocating for their review." So Bill Gates reformulates his old saying "banking is necessary, banks are not" for scholarly publishing.

Facility Location Games with Scaling Effects
Yu He, Alexander Lam, Minming Li
https://arxiv.org/abs/2402.18908 https://arxiv.org/pdf/…

Facility Location Games with Scaling Effects
We take the classic facility location problem and consider a variation, in which each agent's individual cost function is equal to their distance from the facility multiplied by a scaling factor which is determined by the facility placement. In addition to the general class of continuous scaling functions, we also provide results for piecewise linear scaling functions which can effectively approximate or model the scaling of many real world scenarios. We focus on the objectives of total and max…

This https://arxiv.org/abs/2403.11624 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Dual-Channel Multiplex Graph Neural Networks for Recommendation
Efficient recommender systems play a crucial role in accurately capturing user and item attributes that mirror individual preferences. Some existing recommendation techniques have started to shift their focus towards modeling various types of interaction relations between users and items in real-world recommendation scenarios, such as clicks, marking favorites, and purchases on online shopping platforms. Nevertheless, these approaches still grapple with two significant shortcomings: (1) Insuffi…

Magnetic control of magnetotactic bacteria swarms
Mihails Birjukovs, Klaas Bente, Damien Faivre, Guntars Kitenbergs, Andrejs Cebers
https://arxiv.org/abs/2404.18941 https://arxiv.org/pdf/2404.18941
arXiv:2404.18941v1 Announce Type: new
Abstract: Magnetotactic bacteria (MTB) are of significant fundamental and practical interest, especially for applications such as drug delivery and general-purpose object manipulators and payload carriers. While magnetic and other modes of control for individual MTB have been demonstrated, formation, motion and control of MTB swarms are much less studied and understood. Here, we present a torque dipole-based theoretical model for magnetic control of MTB swarms and two methods for swarm formation, and provide experimental validation of the proposed motion model. Model predictions are in good qualitative and quantitative agreement with experiments and literature. Additionally, we were able to determine the torque generated by Magnetospirillium gryphiswaldense (MSR-1) MTB, and the value corresponds to the reported estimates reasonably well.

This https://arxiv.org/abs/2402.14030 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

On the initial spin period distribution of neutron stars
We derive the initial spin period distribution of neutron stars by studying the population of young pulsars associated with supernova remnants. Our hierarchical Bayesian approach accounts for the measurement uncertainties of individual observations and selection effects. Without correcting for selection effects, as done in previous studies, we find that pulsar initial spin periods follow a Weibull distribution, peaking at 40~ms, which is favoured against the log-normal distribution with a Bayes…

Characterising Payload Entropy in Packet Flows
Anthony Kenyon, Lipika Deka, David Elizondo
https://arxiv.org/abs/2404.19121 https://arxiv.org/pdf/2404.19121
arXiv:2404.19121v1 Announce Type: new
Abstract: Accurate and timely detection of cyber threats is critical to keeping our online economy and data safe. A key technique in early detection is the classification of unusual patterns of network behaviour, often hidden as low-frequency events within complex time-series packet flows. One of the ways in which such anomalies can be detected is to analyse the information entropy of the payload within individual packets, since changes in entropy can often indicate suspicious activity - such as whether session encryption has been compromised, or whether a plaintext channel has been co-opted as a covert channel. To decide whether activity is anomalous we need to compare real-time entropy values with baseline values, and while the analysis of entropy in packet data is not particularly new, to the best of our knowledge there are no published baselines for payload entropy across common network services. We offer two contributions: 1) We analyse several large packet datasets to establish baseline payload information entropy values for common network services, 2) We describe an efficient method for engineering entropy metrics when performing flow recovery from live or offline packet data, which can be expressed within feature subsets for subsequent analysis and machine learning applications.

This https://arxiv.org/abs/2306.17260 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
The use of smart devices (e.g., smartphones, smartwatches) and other wearables for context sensing and delivery of digital interventions to improve health outcomes has grown significantly in behavioral and psychiatric studies. Micro-randomized trials (MRTs) are a common experimental design for obtaining data-driven evidence on mobile health (mHealth) intervention effectiveness where each individual is repeatedly randomized to receive treatments over numerous time points. Individual characterist…

Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks
Mariia Ignashina, Julia Ive
https://arxiv.org/abs/2404.19486 https://arxiv.org/pdf/2404.19486
arXiv:2404.19486v1 Announce Type: new
Abstract: Current text generation models are trained using real data which can potentially contain sensitive information, such as confidential patient information and the like. Under certain conditions output of the training data which they have memorised can be triggered, exposing sensitive data. To mitigate against this risk we propose a safer alternative which sees fragmented data in the form of domain-specific short phrases randomly grouped together shared instead of full texts. Thus, text fragments that could re-identify an individual cannot be reproduced by the model in one sequence, giving significant protection against linkage attacks. We fine-tune several state-of-the-art LLMs using meaningful syntactic chunks to explore their utility. In particular, we fine-tune BERT-based models to predict two cardiovascular diagnoses. Our results demonstrate the capacity of LLMs to benefit from the pre-trained knowledge and deliver classification results when fine-tuned with fragmented data comparable to fine-tuning with full training data.

Event Detection for Non-intrusive Load Monitoring using Tukey s Fences
Sidi Mohammed Kaddour, Mohamed Lehsaini, Abdelhamid Bouchachia
https://arxiv.org/abs/2402.17809

Event Detection for Non-intrusive Load Monitoring using Tukey s Fences
The primary objective of non-intrusive load monitoring (NILM) techniques is to monitor and track power consumption within residential buildings. This is achieved by approximating the consumption of each individual appliance from the aggregate energy measurements. Event-based NILM solutions are generally more accurate than other methods. Our paper introduces a novel event detection algorithm called Tukey's Fences-based event detector (TFED). This algorithm uses the fast Fourier transform in conj…

An explicit description for quiver Grassmannians of the Kronecker quiver
Ulysses Alvarez, Kyungyong Lee
https://arxiv.org/abs/2403.19804 https://

An explicit description for quiver Grassmannians of the Kronecker quiver
It is an open problem to find cell decompositions of quiver Grassmannians associated to each cluster variable. We initiate a new approach to this problem by giving an explicit description for each individual subrepresentation. In this paper, we illustrate our approach for the Kronecker quiver.

This https://arxiv.org/abs/2304.11821 has been replaced.
link: https://scholar.google.com/scholar?q=a

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Cooperative perception can significantly improve the perception performance of autonomous vehicles beyond the limited perception ability of individual vehicles by exchanging information with neighbor agents through V2X communication. However, most existing work assume ideal communication among agents, ignoring the significant and common \textit{interruption issues} caused by imperfect V2X communication, where cooperation agents can not receive cooperative messages successfully and thus fail to …

This https://arxiv.org/abs/2301.10748 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Individualized prescriptive inference in ischaemic stroke
The gold standard in the treatment of ischaemic stroke is set by evidence from randomized controlled trials. Yet the manifest complexity of the brain's functional, connective, and vascular architectures introduces heterogeneity in treatment susceptibility that violates the underlying statistical premisses, potentially leading to substantial errors at both individual and population levels. The counterfactual nature of therapeutic inference has made quantifying the impact of this defect difficult…

While I'm commuting home from the office, I'm just browsing a bit in the photos from my last hikes.
This one made me smile as it reminds me of the first snow hike in the season. I was surprised by the amount of snow and wind, but that also made it a really great experience.
But it also meant returning earlier than planned initially. Safety in winter is always number 1 priority.
#nature

Immediate recapture in the trapping-detrapping process of a single charge carrier
Aleksejus Kononovicius, Bronislovas Kaulakys
https://arxiv.org/abs/2403.20257

Immediate recapture in the trapping-detrapping process of a single charge carrier
Previously we have shown that pure 1/f noise arises from the trapping-detrapping process when traps are heterogeneous. Namely, the trapping-detrapping process relies on the assumption that detrapping rates of individual trapping centers in the condensed matter are random and uniformly distributed. Another assumption underlying the trapping-detrapping process was that both trapping and detrapping times need to have non-zero duration. Here we violate the latter assumption by introducing immediate…

This https://arxiv.org/abs/2311.10824 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Breakdown of steady-state superradiance in extended driven atomic arrays
Recent advances in generating well controlled dense arrangements of individual atoms in free space have generated interest in understanding how the extended nature of these systems influences superradiance phenomena. Here, we provide an in-depth analysis on how space-dependent light-shifts and decay rates induced by dipole-dipole interactions modify the steady-state properties of coherently driven arrays of quantum emitters. We characterize the steady-state phase diagram, with particular focus …

This https://arxiv.org/abs/2402.16972 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Optimal Mechanisms for Consumer Surplus Maximization
We consider the problem of designing auctions which maximize consumer surplus (i.e., the social welfare minus the payments charged to the buyers). In the consumer surplus maximization problem, a seller with a set of goods faces a set of strategic buyers with private values, each of whom aims to maximize their own individual utility. The seller, in contrast, aims to allocate the goods in a way which maximizes the total buyer utility. The seller must then elicit the values of the buyers in order …

Hawaii's Supreme Court Insists There Is No Individual Right to Arms
https://reason.com/2024/02/08/hawaiis-supreme-court-insists-there-is-no-individual-right-to-arms/

Hawaii's Supreme Court Insists There Is No Individual Right to Arms
Rejecting a challenge to the state's strict gun laws, the court is openly contemptuous of Second Amendment precedents.

Low-Rank Online Dynamic Assortment with Dual Contextual Information
Seong Jin Lee, Will Wei Sun, Yufeng Liu
https://arxiv.org/abs/2404.17592 https://

Low-Rank Online Dynamic Assortment with Dual Contextual Information
As e-commerce expands, delivering real-time personalized recommendations from vast catalogs poses a critical challenge for retail platforms. Maximizing revenue requires careful consideration of both individual customer characteristics and available item features to optimize assortments over time. In this paper, we consider the dynamic assortment problem with dual contexts -- user and item features. In high-dimensional scenarios, the quadratic growth of dimensions complicates computation and est…

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi
https://arxiv.org/abs/2404.19744 https://arxiv.org/pdf/2404.19744
arXiv:2404.19744v1 Announce Type: new
Abstract: Data protection and privacy is becoming increasingly crucial in the digital era. Numerous companies depend on third-party vendors and service providers to carry out critical functions within their operations, encompassing tasks such as data handling and storage. However, this reliance introduces potential vulnerabilities, as these vendors' security measures and practices may not always align with the standards expected by regulatory bodies. Businesses are required, often under the penalty of law, to ensure compliance with the evolving regulatory rules. Interpreting and implementing these regulations pose challenges due to their complexity. Regulatory documents are extensive, demanding significant effort for interpretation, while vendor-drafted privacy policies often lack the detail required for full legal compliance, leading to ambiguity. To ensure a concise interpretation of the regulatory requirements and compliance of organizational privacy policy with said regulations, we propose a Large Language Model (LLM) and Semantic Web based approach for privacy compliance. In this paper, we develop the novel Privacy Policy Compliance Verification Knowledge Graph, PrivComp-KG. It is designed to efficiently store and retrieve comprehensive information concerning privacy policies, regulatory frameworks, and domain-specific knowledge pertaining to the legal landscape of privacy. Using Retrieval Augmented Generation, we identify the relevant sections in a privacy policy with corresponding regulatory rules. This information about individual privacy policies is populated into the PrivComp-KG. Combining this with the domain context and rules, the PrivComp-KG can be queried to check for compliance with privacy policies by each vendor against relevant policy regulations. We demonstrate the relevance of the PrivComp-KG, by verifying compliance of privacy policy documents for various organizations.

A study of 10 Rotating Radio Transients using Parkes radio telescope
Xinhui Ren, Jingbo Wang, Wenming Yan, Jintao Xie, Shuangqiang Wang, Yirong Wen, Yong Xia
https://arxiv.org/abs/2402.18035

A study of 10 Rotating Radio Transients using Parkes radio telescope
Rotating Radio Transients (RRATs) are a relatively new subclass of pulsars that emit detectable radio bursts sporadically. We conducted an analysis of 10 RRATs observed using the Parkes telescope, with 8 of these observed via the Ultra-Wideband Receiver. We measured the burst rate and produced integrated profiles spanning multiple frequency bands for 3 RRATs. We also conducted a spectral analysis on both integrated pulses and individual pulses of 3 RRATs. All of their integrated pulses follow a…

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
Michael Potter, Murat Akcakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
https://arxiv.org/abs/2402.17987

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
Radar Automated Target Recognition (RATR) for Unmanned Aerial Vehicles (UAVs) involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition on the received radar echo, crucial for defense and aerospace applications. Previous studies highlighted the advantages of multistatic radar configurations over monostatic ones in RATR. However, fusion methods in multistatic radar configurations often suboptimally combine classification vectors from individual radars probabilisti…

A Note On the Orbits of a Symmetric Subgroup in the Flag Variety
Leticia Barchini, Peter E. Trapa
https://arxiv.org/abs/2402.17952 https://

A Note On the Orbits of a Symmetric Subgroup in the Flag Variety
Motivated by relating the representation theory of the split real and $p$-adic forms of a connected reductive algebraic group $G$, we describe a subset of $2^r$ orbits on the complex flag variety for a certain symmetric subgroup. (Here $r$ is the semisimple rank of $G$.) This set of orbits has the property that, while the closure of individual orbits are generally singular, they are always smooth along other orbits in the set. This, in turn, implies consequences for the representation theory of…

This https://arxiv.org/abs/2404.06895 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

CaDRec: Contextualized and Debiased Recommender Model
Recommender models aimed at mining users' behavioral patterns have raised great attention as one of the essential applications in daily life. Recent work on graph neural networks (GNNs) or debiasing methods has attained remarkable gains. However, they still suffer from (1) over-smoothing node embeddings caused by recursive convolutions with GNNs, and (2) the skewed distribution of interactions due to popularity and user-individual biases. This paper proposes a contextualized and debiased recomm…

Hypergraph adjusted plus-minus
Nathaniel Josephs, Elizabeth Upton
https://arxiv.org/abs/2403.20214 https://arxiv.org/pdf/2403.20214…

Hypergraph adjusted plus-minus
In team sports, traditional ranking statistics do not allow for the simultaneous evaluation of both individuals and combinations of players. Metrics for individual player rankings often fail to consider the interaction effects between groups of players, while methods for assessing full lineups cannot be used to identify the value of lower-order combinations of players (pairs, trios, etc.). Given that player and lineup rankings are inherently dependent on each other, these limitations may affect…

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Yajun Liu, Beth Andrews
https://arxiv.org/abs/2402.17274 https://

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Sequential change-point detection for time series enables us to sequentially check the hypothesis that the model still holds as more and more data are observed. It's widely used in data monitoring in practice. Meanwhile, binomial time series, which depicts independent binary individual behaviors within a group when the individual behaviors are dependent on past observations of the whole group, is an important type of model in practice but hasn't been developed well. We first propose a Binomial …

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Yajun Liu, Beth Andrews
https://arxiv.org/abs/2402.17274 https://

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Sequential change-point detection for time series enables us to sequentially check the hypothesis that the model still holds as more and more data are observed. It's widely used in data monitoring in practice. Meanwhile, binomial time series, which depicts independent binary individual behaviors within a group when the individual behaviors are dependent on past observations of the whole group, is an important type of model in practice but hasn't been developed well. We first propose a Binomial …

Mapping between measurement scales in meta-analysis, with application to measures of body mass index in children
Annabel L Davies, A E Ades, Julian PT Higgins
https://arxiv.org/abs/2402.18298

Mapping between measurement scales in meta-analysis, with application to measures of body mass index in children
Quantitative evidence synthesis methods aim to combine data from multiple medical trials to infer relative effects of different interventions. A challenge arises when trials report continuous outcomes on different measurement scales. To include all evidence in one coherent analysis, we require methods to `map' the outcomes onto a single scale. This is particularly challenging when trials report aggregate rather than individual data. We are motivated by a meta-analysis of interventions to preven…

This https://arxiv.org/abs/2305.01849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions
This study introduces a nonparametric definition of interaction and provides an approach to both interaction discovery and efficient estimation of this parameter. Using stochastic shift interventions and ensemble machine learning, our approach identifies and quantifies interaction effects through a model-independent target parameter, estimated via targeted maximum likelihood and cross-validation. This method contrasts the expected outcomes of joint interventions with those of individual interve…