Tootfinder

Fritz.box: Domain aus dem Verkehr gezogen
Unbekannte sicherten sich im Januar die Domain fritz.box. Doch das Stiften von Verwirrung hielt nicht lange an. Jetzt wurde die Adresse aus dem Verkehr gezogen.
https://www.

The most important thing when choosing a #domain is that you like it and stick with it.
https://josvelasco.com/how-important-is-it-to-choose-th…

Fritz.box: Domain aus dem Verkehr gezogen | heise online
https://heise.de/-9647776

Fritz.box: Domain aus dem Verkehr gezogen
Unbekannte sicherten sich im Januar die Domain fritz.box. Doch die Verwirrung hielt nicht lange an. Jetzt wurde die Adresse aus dem Verkehr gezogen.

Ist hier jemand Kund:in bei #Nazis bei

interactome_pdz: PDZ-domain interactome (2005)
A network of PDZ-domain-mediated protein–protein binding interactions, extracted from the PDZBase database. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 212 nodes and 244 edges.
Tags: Biological, Protein interactions, Unweighted

Immense dataset of english books for training AI. This dataset contains more than 650,000 English public domain books (~ 61 billion words).
https://huggingface.co/datasets/storytracer/internet_archive_books_en

storytracer/internet_archive_books_en · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Google rolls out updates to its Search ranking, including downranking content that summarizes others' work, to counter the spread of AI content in results (David Pierce/The Verge)
https://www.theverge.com/2024/3/5/24091099/google-s…

Google’s new ranking systems are designed to stop spam, SEO, and other manipulative tactics
By downranking obituary spam and expired domain abuse and prioritizing helpful content over AI summaries, Google says it has been able to improve search results everywhere.

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao
https://arxiv.org/abs/2403.02630

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
In recent years, Cross-Domain Recommendation (CDR) has drawn significant attention, which utilizes user data from multiple domains to enhance the recommendation performance. However, current CDR methods require sharing user data across domains, thereby violating the General Data Protection Regulation (GDPR). Consequently, numerous approaches have been proposed for Federated Cross-Domain Recommendation (FedCDR). Nevertheless, the data heterogeneity across different domains inevitably influences …

If you’d like to make it possible for people to follow you from Bluesky — and you’re in a domain that permits it — all you have to do is follow @….
I think these connections have the potential to strengthen everyone. We need critical mass!

Google rolls out new changes to its Search ranking to help surface good content, downrank content that summarizes others' work, and more, as AI content spreads (David Pierce/The Verge)
https://www.theverge.com/2024/3/5/24091099/goo…

Google’s new ranking systems are designed to stop spam, SEO, and other manipulative tactics
By downranking obituary spam and expired domain abuse and prioritizing helpful content over AI summaries, Google says it has been able to improve search results everywhere.

This https://arxiv.org/abs/2403.17369 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
Unsupervised Domain Adaptation (UDA) aims to adapt models from labeled source domains to unlabeled target domains. When adapting to adverse scenes, existing UDA methods fail to perform well due to the lack of instructions, leading their models to overlook discrepancies within all adverse scenes. To tackle this, we propose CoDA which instructs models to distinguish, focus, and learn from these discrepancies at scene and image levels. Specifically, CoDA consists of a Chain-of-Domain (CoD) strateg…

Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows
Jasmine Y. Shih, Vishal Mohanty, Yannis Katsis, Hariharan Subramonyam
https://arxiv.org/abs/2405.02260

Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows
Domain experts can play a crucial role in guiding data scientists to optimize machine learning models while ensuring contextual relevance for downstream use. However, in current workflows, such collaboration is challenging due to differing expertise, abstract documentation practices, and lack of access and visibility into low-level implementation artifacts. To address these challenges and enable domain expert participation, we introduce CellSync, a collaboration framework comprising (1) a Jupyt…

one of my domain(an old side project) is getting expired notice came, I have no idea when I decided to drop that one or why, then I said to myself ok let me 301 redirect those to the main domain, then I tested and I realize it is already there, then I said ok let me check the code base is it clean 🤓 it is clear, I said to my self "Good boy" happy #caturday

Is there any TLD registry (not registrar) and accompanying domain name extension (.com, .net and so on) out there that’s owned by a small/independent, i.e. trustworthy business? Feels like they’re all owned by some creepy mega-corp.
.blog owned by Automattic is a decent example, though they’re not exactly very indie anymore, and have come under strong scrutiny of late. I wonder if there are even better alternatives.
UPDATE: .tel is a pretty interesting one.

Thanks to whomever is maintaining the caminobrowser.org domain and the wiki and stuff. I guess It's probably @…

Przez kilka dni, nie widziałem żadnych obrazków na serwerze Mastodona treehouse.systems. Ani z przeglądarki, ani przez Tubę. Za to w Tuskym działały.
Oczywiście, był to DNS. W pierwszej chwili myślałem, że coś błędnie blokuje subdomenę dla cache'a. Okazało się, że to bug obsługi DNSSEC w systemd.
https://

No clear evidence of a difference between individuals who self-report an absence of auditory imagery and typical imagers on auditory imagery tasks https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0300219

No clear evidence of a difference between individuals who self-report an absence of auditory imagery and typical imagers on auditory imagery tasks
Aphantasia is characterised by the inability to create mental images in one’s mind. Studies investigating impairments in imagery typically focus on the visual domain. However, it is possible to generate many different forms of imagery including imagined auditory, kinesthetic, tactile, motor, taste and other experiences. Recent studies show that individuals with aphantasia report a lack of imagery in modalities, other than vision, including audition. However, to date, no research has examined …

Logged in (on the computer), and the very first post is this one, from @… , via boosting - https://social.linux.pizza/@knodel/112223559142879430

Precise Time-Domain Asteroseismology and a Revised Target List for TESS Solar-Like Oscillators
Daniel Hey, Daniel Huber, Joel Ong, Dennis Stello, Daniel Foreman-Mackey
https://arxiv.org/abs/2403.02489

Precise Time-Domain Asteroseismology and a Revised Target List for TESS Solar-Like Oscillators
The TESS mission has provided a wealth of asteroseismic data for solar-like oscillators. However, these data are subject to varying cadences, large gaps, and unequal sampling, which complicates analysis in the frequency domain. One solution is to model the oscillations in the time domain by treating them as stochastically damped simple harmonic oscillators through a linear combination of Gaussian Process kernels. We demonstrate this method on the well-studied subgiant star nu Indi and a sample …

This https://arxiv.org/abs/2405.01022 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Although pre-trained language models have exhibited great flexibility and versatility with prompt-based few-shot learning, they suffer from the extensive parameter size and limited applicability for inference. Recent studies have suggested that PLMs be used as dataset generators and a tiny task-specific model be trained to achieve efficient inference. However, their applicability to various domains is limited because they tend to generate domain-specific datasets. In this work, we propose a nov…

interactome_pdz: PDZ-domain interactome (2005)
A network of PDZ-domain-mediated protein–protein binding interactions, extracted from the PDZBase database. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 212 nodes and 244 edges.
Tags: Biological, Protein interactions, Unweighted

This https://arxiv.org/abs/2308.09110 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer
JPEG compression adopts the quantization of Discrete Cosine Transform (DCT) coefficients for effective bit-rate reduction, whilst the quantization could lead to a significant loss of important image details. Recovering compressed JPEG images in the frequency domain has recently garnered increasing interest, complementing the multitude of restoration techniques established in the pixel domain. However, existing DCT domain methods typically suffer from limited effectiveness in handling a wide ran…

Finally putting the domain #pcb #electronics

Watching The Doors live at The Hollywood Bowl (1968)¹ and hacking on Kitten² and Domain³.
All in all, not a bad way to spend a Saturday afternoon in my book.
(I’ve almost got database backup/restore working in Kitten and I’ve just finished porting Domain to the latest Kitten with JSDB 5⁴.)
¹ https://yewtu.be/watch?v=Q…

"You are not buying from a supplier, you are a raccoon digging through dumpsters for free code."
Totally adding this to my vocabulary.
https://www.softwaremaxims.com/blog/not-a-supplier

On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
Joaqu\'in S\'anchez Garc\'ia
https://arxiv.org/abs/2403.02432

On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
We study a new technique for understanding convergence of learning agents under small modifications of data. We show that such convergence can be understood via an analogue of Fatou's lemma which yields gamma-convergence. We show it's relevance and applications in general machine learning tasks and domain adaptation transfer learning.

Google rolls out updates to its Search ranking, including downranking content that summarizes others' work, to counter the spread of AI content in results (David Pierce/The Verge)
https://www.theverge.com/2024/3/5/24091099/google-s…

Google’s new ranking systems are designed to stop spam, SEO, and other manipulative tactics
By downranking obituary spam and expired domain abuse and prioritizing helpful content over AI summaries, Google says it has been able to improve search results everywhere.

I'm having ridiculous plans.
Instead of moving the Starship and Tarot projects over to a temp instance, and then back to a re-built server with new software on the old domain... what if I just moved both of their websites to become GotoSocial websites?
They're both currently built with Hugo as static sites anyway, so they could drop into the Assets folder on a GotoSocial site if I accepted the /assets/ in the front of every URL, or renamed that in the source-code.
And with just a bit of template-editing for the homepage I've got essentially the entire old website plus the Fediverse/gotoSocial features on each project's own domain, the /@user URLs leading to an activity-pub feed of stuff I can boost from here.
Course, that means two new VMs/IP-addresses instead of using the existing one. Or I suppose running two GotoSocial processes and a front-end redirector of some sort...
Oh man. That's loads more work than I was hoping but it's obviously the right thing to do really.
They each need their own social site URLs not sharing one with my name.

Time limited admin, whether in AWS, or otherwise
The idea of having a separate user, or even having domain restrictions on only being able to log in as that user from a domain controller or specific laptop that isn't your daily driver

Is there a term for the subset of domain-specific literacy that is understanding the boundaries between separate things? e.g. the ability to distinguish a search engine and web browser as two different things or a newspaper article vs. advertorial

#fedibird #fedibird_info Threadsとの接続について、Fedibird利用者向けのTIPSです。
■ Threadsの投稿の全文検索について
ThreadsはMastodon仕様の『全文検索を許可するフラグ』をサポートしていないようです。
ついては、自分でThreadsの投稿にリアクション（お気に入りはもとより、絵文字リアクション、届かない返信やブースト、ブックマークを含む）したものについてのみ全文検索対象となります。
デフォルトで公開検索が許可されていないので、全文検索でdomain:threads.netと指定し…

This https://arxiv.org/abs/2308.15465 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Sharing proofs with predicative theories through universe polymorphic elaboration
As the development of formal proofs is a time-consuming task, it is important to devise ways of sharing the already written proofs to prevent wasting time redoing them. One of the challenges in this domain is to translate proofs written in proof assistants based on impredicative logics to proof assistants based on predicative logics, whenever impredicativity is not used in an essential way. In this paper we present a transformation for sharing proofs with a core predicative system supporting …

Direct visualization of local magnetic domain dynamics in a 2D Van der Walls material/ferromagnet interface
Joseph Vimal Vas, Rohit Medwal, Sourabh Manna, Mayank Mishra, Aaron Muller, John Rex Mohan, Yasuhiro Fukuma, Martial Duchamp, Rajdeep Singh Rawat
https://arxiv.org/abs/2404.03177 <…

Direct visualization of local magnetic domain dynamics in a 2D Van der Walls material/ferromagnet interface
Exploring new strategies for controlling the magnetic domain propagation is the key to realize ultrafast, high-density domain wall-based memory and logic devices for next generation computing. These strategies include strain modulation in multiferroic devices, geometric confinement and area-selective pinning of domain wall. 2D Van der Waals materials introduce localized modifications to the interfacial magnetic order, enabling control over the propagation of magnetic domains. Here, using Lorent…

Over-The-Air Double-Threshold Deep Learner for Jamming Detection in 5G RF domain
Ghazal Asemian, Mohammadreza Amini, Burak Kantarci, Melike Erol-Kantarci
https://arxiv.org/abs/2403.02645

Over-The-Air Double-Threshold Deep Learner for Jamming Detection in 5G RF domain
With the evolution of 5G wireless communications, the Synchronization Signal Block (SSB) plays a critical role in the synchronization of devices and accessibility of services. However, due to the predictable nature of SSB transmission, including the Primary and Secondary Synchronization Signals (PSS and SSS), jamming attacks are critical threats. By leveraging RF domain knowledge, this work presents a novel deep learning-based technique for detecting jammers in 5G networks. Unlike the existing …

A Logic of Sattestation
Aaron D. Jaggard, Paul Syverson, Catherine Meadows
https://arxiv.org/abs/2405.01809 https://arxiv.org/pdf/240…

A Logic of Sattestation
We introduce a logic for reasoning about contextual trust for web addresses, provide a Kripke semantics for it, and prove its soundness under reasonable assumptions about principals' policies. Self-Authenticating Traditional Addresses (SATAs) are valid DNS addresses or URLs that are generally meaningful -- to both humans and web infrastructure -- and contain a commitment to a public key in the address itself. Trust in web addresses is currently established via domain name registration, TLS ce…

If you’d like to make it possible for people to follow you from Bluesky — and you’re in a domain that permits it — all you have to do is follow @….
I think these connections have the potential to strengthen everyone. We need critical mass!

The siren song of domain-specific languages #DSL
https://www.haskellforall.com/2024/02/the-siren-song-of-domain-specific.html

Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
Sujit Khanna, Shishir Subedi
https://arxiv.org/abs/2405.01585 https…

Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
In recent times Large Language Models have exhibited tremendous capabilities, especially in the areas of mathematics, code generation and general-purpose reasoning. However for specialized domains especially in applications that require parsing and analyzing large chunks of numeric or tabular data even state-of-the-art (SOTA) models struggle. In this paper, we introduce a new approach to solving domain-specific tabular data analysis tasks by presenting a unique RAG workflow that mitigates the s…

Abstracting Denotational Interpreters
Sebastian Graf, Simon Peyton Jones, Sven Keidel
https://arxiv.org/abs/2403.02778 https://arxiv.…

Abstracting Denotational Interpreters
We explore denotational interpreters: denotational semantics that produce coinductive traces of a corresponding small-step operational semantics. By parameterising our denotational interpreter over the semantic domain and then varying it, we recover dynamic semantics with different evaluation strategies as well as summary-based static analyses such as type analysis, all from the same generic interpreter. Among our contributions is the first provably adequate denotational semantics for call-by-n…

This https://arxiv.org/abs/2404.02822 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Identifying Climate Targets in National Laws and Policies using Machine Learning
Quantified policy targets are a fundamental element of climate policy, typically characterised by domain-specific and technical language. Current methods for curating comprehensive views of global climate policy targets entail significant manual effort. At present there are few scalable methods for extracting climate targets from national laws or policies, which limits policymakers' and researchers' ability to (1) assess private and public sector alignment with global goals and (2) inform polic…

The Bohr inequality on a simply connected domain and its applications
Sabir Ahammed, Molla Basir Ahamed, Partha Pratim Roy
https://arxiv.org/abs/2405.01895

The Bohr inequality on a simply connected domain and its applications
In this article, we first establish a generalized Bohr inequality and examine its sharpness for a class of analytic functions $f$ in a simply connected domain $Ω_γ,$ where $0\leq γ<1$ with a sequence $\{φ_n(r) \}^{\infty}_{n=0}$ of non-negative continuous functions defined on $[0,1)$ such that the series $\sum_{n=0}^{\infty}φ_n(r)$ converges locally uniformly on $[0,1)$. Our results represent twofold generalizations corresponding to those obtained for the classes $\mathcal{B}(\mathbb{D})$ …

This https://arxiv.org/abs/2403.17369 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
Unsupervised Domain Adaptation (UDA) aims to adapt models from labeled source domains to unlabeled target domains. When adapting to adverse scenes, existing UDA methods fail to perform well due to the lack of instructions, leading their models to overlook discrepancies within all adverse scenes. To tackle this, we propose CoDA which instructs models to distinguish, focus, and learn from these discrepancies at scene and image levels. Specifically, CoDA consists of a Chain-of-Domain (CoD) strateg…

X-SLAM: Scalable Dense SLAM for Task-aware Optimization using CSFD
Zhexi Peng, Yin Yang, Tianjia Shao, Chenfanfu Jiang, Kun Zhou
https://arxiv.org/abs/2405.02187

X-SLAM: Scalable Dense SLAM for Task-aware Optimization using CSFD
We present X-SLAM, a real-time dense differentiable SLAM system that leverages the complex-step finite difference (CSFD) method for efficient calculation of numerical derivatives, bypassing the need for a large-scale computational graph. The key to our approach is treating the SLAM process as a differentiable function, enabling the calculation of the derivatives of important SLAM parameters through Taylor series expansion within the complex domain. Our system allows for the real-time calculatio…

"masto.ai" is great domain block

Developments on frequency domain multiplexing readout for large arrays of transition-edge sensor X-ray micro-calorimeters
D. Vaccaro, H. Akamatsu, L. Gottardi, M. de Wit, M. P. Bruijn, J. van der Kuur, K. Nagayoshi, E. Taralli, K. Ravensberg, J. R. Gao, J. W. A. den Herder
https://arxiv.org/abs/2403.02989

Developments on frequency domain multiplexing readout for large arrays of transition-edge sensor X-ray micro-calorimeters
At SRON we have been developing X-ray TES micro-calorimeters as backup technology for the X-ray Integral Field Unit (X-IFU) of the Athena mission, demonstrating excellent resolving powers both under DC and AC bias. We also developed a frequency-domain multiplexing (FDM) readout technology, where each TES is coupled to a superconducting band-pass LC resonator and AC biased at MHz frequencies through a common readout line. The TES signals are summed at the input of a superconducting quantum inter…

Is there any TLD registry (not registrar) and accompanying domain name extension (.com, .net and so on) out there that’s owned by a small/independent, i.e. trustworthy business? Feels like they’re all owned by some creepy mega-corp.
.blog owned by Automattic is a decent example, though they’re not exactly very indie anymore, and have come under strong scrutiny of late. I wonder if there are even better alternatives.
UPDATE: .tel is a pretty interesting one.

This https://arxiv.org/abs/2401.01508 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering
[Context and Motivation] Natural Language Processing (NLP) is now a cornerstone of requirements automation. One compelling factor behind the growing adoption of NLP in Requirements Engineering (RE) is the prevalent use of natural language (NL) for specifying requirements in industry. NLP techniques are commonly used for automatically classifying requirements, extracting important information, e.g., domain models and glossary terms, and performing quality assurance tasks, such as ambiguity handl…

This https://arxiv.org/abs/2401.04944 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

TREASUREHUNT: Transients and Variability Discovered with HST in the JWST North Ecliptic Pole Time Domain Field
The JWST North Ecliptic Pole (NEP) Time Domain Field (TDF) is a $>$14 arcmin diameter field optimized for multi-wavelength time-domain science with JWST. It has been observed across the electromagnetic spectrum both from the ground and from space, including with the Hubble Space Telescope (HST). As part of HST observations over 3 cycles (the "TREASUREHUNT" program), deep images were obtained with ACS/WFC in F435W and F606W that cover almost the entire JWST NEP TDF. Many of the individual pointi…

If I had to live only on Free Culture, I'd go insane. The only thing I could find comfort in is the Free Software movement. I'd have books from the public domain, sure, but what about music? What about videos? What's even worth reading? Are people still talking about books from the public domain? Perhaps we need a culture forge. A means of creating new free cultural works, or at least setting up some kind of repository to track objects other than source code.

Heute vor 69 Jahren: Am 6. April 1955 zündeten die #USA im Rahmen von Operation Teapot die 10. Atombombe "HA". Teapot war eine Serie von #Kernwaffentests bei der 1955 insgesamt 14 Bomben im Testgebiet in #Nevada

GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Zhongming Yu, Genghan Zhang, Hanxian Huang, Xin Chen, Jishen Zhao
https://arxiv.org/abs/2404.03019

GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
In recent years, Graph Neural Networks (GNNs) have ignited a surge of innovation, significantly enhancing the processing of geometric data structures such as graphs, point clouds, and meshes. As the domain continues to evolve, a series of frameworks and libraries are being developed to push GNN efficiency to new heights. While graph-centric libraries have achieved success in the past, the advent of efficient tensor compilers has highlighted the urgent need for tensor-centric libraries. Yet, eff…

This https://arxiv.org/abs/2402.03015 has been replaced.
link: https://scholar.google.com/scholar?q=a

Open-separating dominating codes in graphs
Using dominating sets to separate vertices of graphs is a well-studied problem in the larger domain of identification problems. In such problems, the objective is to choose a suitable dominating set $C$ of a graph $G$ such that the neighbourhoods of all vertices of $G$ have distinct intersections with $C$. Such a dominating and separating set $C$ is often referred to as a \emph{code} in the literature. Depending on the types of dominating and separating sets used, various problems arise under v…

On an estimate on G\"otzky's domain
D\'avid T\'othHUN-REN Alfr\'ed R\'enyi Institute of Mathematics, Budapest University of Technology,Economics
https://arxiv.org/abs/2403.00469

On an estimate on Götzky's domain
A fundamental domain $F\subset H^2$ for the Hilbert modular group belonging to the quadratic number field $Q(\sqrt{5})$ was constructed by Götzky almost a hundred years ago. He also gave a lower bound for the height $y_1y_2$ of the points $(z_1,z_2)=(x_1+iy_1,x_2+iy_2)\in F$. Later Gundlach used analogous domains and estimates for other fields as well to give a complete list of totally elliptic conjugacy classes in some Hilbert modular groups, while not long ago Deutsch analysed two of these d…

Boles.radio is LIVE!
We've discussed AI here several times here on Boles Blogs, and today we're taking the logical next step into the Uncanny valley by sharing original musical creations and starting our own website radio streaming service using our new songs to accompany our new Boles.radio TLD (Top Level Domain)!
http…

Boles.radio is LIVE! | David Boles, Blogs
We’ve discussed AI here several times here on Boles Blogs, and today we’re taking the logical next step into the Uncanny valley by sharing original musical creations and starting our ow…

This https://arxiv.org/abs/2309.16749 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

A Long Exact Sequence in Symmetry Breaking: order parameter constraints, defect anomaly-matching, and higher Berry phases
We study defects in symmetry breaking phases, such as domain walls, vortices, and hedgehogs. In particular, we focus on the localized gapless excitations which sometimes occur at the cores of these objects. These are topologically protected by an 't Hooft anomaly. We classify different symmetry breaking phases in terms of the anomalies of these defects, and relate them to the anomaly of the broken symmetry by an anomaly-matching formula. We also derive the obstruction to the existence of a symm…

This https://arxiv.org/abs/2212.05829 has been replaced.
link: https://scholar.google.com/scholar?q=a

Left-Right Symmetry Breaking and Gravitational Waves : A Tale of Two Phase Transitions
We study possible ways gravitational waves (GW) are sourced in a theory with minimal left-right symmetry breaking. Generically first order phase transitions (FOPT) lead to gravitational waves sourced by bubble collisions, while second order phase transitions (SOPT) do not. However, due the presence of two degenerate fields, we obtain domain walls in the putative SOPT case, giving rise to GW via decaying domain walls, testable at experiments such as IPTA, DECIGO, and LISA. On the other hand, for…

DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
Ramraj Chandradevan, Kaustubh D. Dhole, Eugene Agichtein
https://arxiv.org/abs/2404.02489

DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
State-of-the-art neural rankers pre-trained on large task-specific training data such as MS-MARCO, have been shown to exhibit strong performance on various ranking tasks without domain adaptation, also called zero-shot. However, zero-shot neural ranking may be sub-optimal, as it does not take advantage of the target domain information. Unfortunately, acquiring sufficiently large and high quality target training data to improve a modern neural ranker can be costly and time-consuming. To address …

This https://arxiv.org/abs/2402.15953 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries
With the increasing rate of data generated by critical systems, estimating functions on streaming data has become essential. This demand has driven numerous advancements in algorithms designed to efficiently query and analyze one or more data streams while operating under memory constraints. The primary challenge arises from the rapid influx of new items, requiring algorithms that enable efficient incremental processing of streams in order to keep up. A prominent algorithm in this domain is the…

On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
Joaqu\'in S\'anchez Garc\'ia
https://arxiv.org/abs/2403.02432

On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
We study a new technique for understanding convergence of learning agents under small modifications of data. We show that such convergence can be understood via an analogue of Fatou's lemma which yields gamma-convergence. We show it's relevance and applications in general machine learning tasks and domain adaptation transfer learning.

Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Semi-supervised Cross-domain Neural Networks for Indoor Environment
Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Deying Chen, Yixuan Tong, Shaocong Zheng
https://arxiv.org/abs/2403.02632

Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Semi-supervised Cross-domain Neural Networks for Indoor Environment
Low-resolution infrared-based human activity recognition (HAR) attracted enormous interests due to its low-cost and private. In this paper, a novel semi-supervised crossdomain neural network (SCDNN) based on 8 $\times$ 8 low-resolution infrared sensor is proposed for accurately identifying human activity despite changes in the environment at a low-cost. The SCDNN consists of feature extractor, domain discriminator and label classifier. In the feature extractor, the unlabeled and minimal labeled…

The siren song of domain-specific languages #DSL
https://www.haskellforall.com/2024/02/the-siren-song-of-domain-specific.html

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph
Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger
https://arxiv.org/abs/2405.02105

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph
Structured science summaries or research contributions using properties or dimensions beyond traditional keywords enhances science findability. Current methods, such as those used by the Open Research Knowledge Graph (ORKG), involve manually curating properties to describe research papers' contributions in a structured manner, but this is labor-intensive and inconsistent between the domain expert human curators. We propose using Large Language Models (LLMs) to automatically suggest these proper…

This https://arxiv.org/abs/2403.00462 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
Spurred by recent advances in Large Language Models (LLMs), virtual assistants are poised to take a leap forward in terms of their dialogue capabilities. Yet a major bottleneck to achieving genuinely transformative task-oriented dialogue capabilities remains the scarcity of high quality data. Existing datasets, while impressive in scale, have limited domain coverage and contain few genuinely challenging conversational phenomena; those which are present are typically unlabelled, making it diffic…

This https://arxiv.org/abs/2404.01988 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection
Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adaptability in low signal-to-noise ratio (SNR) conditions but also for the reliability and efficiency of automated vehicles. To address this problem, we propose a \textbf{Co}operative \textbf{S}tudents (\textbf{CoS}) framework that innovatively employs…

Damnit, I hate when I hit a new domain-name too early and it hasn't propagated enough and now my cache is not-found until fuck knows when, might as well get a drink.

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
Kaichen Huang, Minghao Shao, Shenghua Wan, Hai-Hang Sun, Shuai Feng, Le Gan, De-Chuan Zhan
https://arxiv.org/abs/2404.03386

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
In many real-world visual Imitation Learning (IL) scenarios, there is a misalignment between the agent's and the expert's perspectives, which might lead to the failure of imitation. Previous methods have generally solved this problem by domain alignment, which incurs extra computation and storage costs, and these methods fail to handle the \textit{hard cases} where the viewpoint gap is too large. To alleviate the above problems, we introduce active sensoring in the visual IL setting and propose…

This https://arxiv.org/abs/2403.00111 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

A compendium and evaluation of taxonomy quality attributes
Introduction: Taxonomies capture knowledge about a particular domain in a succinct manner and establish a common understanding among peers. Researchers use taxonomies to convey information about a particular knowledge area or to support automation tasks, and practitioners use them to enable communication beyond organizational boundaries. Aims: Despite this important role of taxonomies in software engineering, their quality is seldom evaluated. Our aim is to identify and define taxonomy quality …

Heute vor 69 Jahren: Am 6. April 1955 zündeten die #USA im Rahmen von Operation Teapot die 10. Atombombe "HA". Teapot war eine Serie von #Kernwaffentests bei der 1955 insgesamt 14 Bomben im Testgebiet in #Nevada

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Moustafa Saleh
https://arxiv.org/abs/2405.01728

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
As the focus on security of Artificial Intelligence (AI) is becoming paramount, research on crafting and inserting optimal adversarial perturbations has become increasingly critical. In the malware domain, this adversarial sample generation relies heavily on the accuracy and placement of crafted perturbation with the goal of evading a trained classifier. This work focuses on applying explainability techniques to enhance the adversarial evasion attack on a machine-learning-based Windows PE malwa…

This https://arxiv.org/abs/2404.01988 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection
Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adaptability in low signal-to-noise ratio (SNR) conditions but also for the reliability and efficiency of automated vehicles. To address this problem, we propose a \textbf{Co}operative \textbf{S}tudents (\textbf{CoS}) framework that innovatively employs…

This https://arxiv.org/abs/2212.05829 has been replaced.
link: https://scholar.google.com/scholar?q=a

Left-Right Symmetry Breaking and Gravitational Waves : A Tale of Two Phase Transitions
We study possible ways gravitational waves (GW) are sourced in a theory with minimal left-right symmetry breaking. Generically first order phase transitions (FOPT) lead to gravitational waves sourced by bubble collisions, while second order phase transitions (SOPT) do not. However, due the presence of two degenerate fields, we obtain domain walls in the putative SOPT case, giving rise to GW via decaying domain walls, testable at experiments such as IPTA, DECIGO, and LISA. On the other hand, for…

This https://arxiv.org/abs/2312.08443 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Singular limits in STU supergravity
We analyse the STU sectors of the four-dimensional maximal gauged supergravities with gauge groups ${\rm SO(8)}$, ${\rm SO(6)}\ltimes\mathbb{R}^{12}$ and $[{\rm SO(6)}\times{\rm SO(2)}]\ltimes\mathbb{R}^{12}$, and construct new domain-wall black-hole solutions in $D=4$. The consistent Kaluza-Klein embedding of these theories is obtained using the techniques of Exceptional Field Theory combined with the 4$d$ tensor hierarchies, and their respective uplifts into $D=11$ and type IIB supergravities…

This https://arxiv.org/abs/2403.01598 has been replaced.
link: https://scholar.google.com/scholar?q=a

APISR: Anime Production Inspired Real-World Anime Super-Resolution
While real-world anime super-resolution (SR) has gained increasing attention in the SR community, existing methods still adopt techniques from the photorealistic domain. In this paper, we analyze the anime production workflow and rethink how to use characteristics of it for the sake of the real-world anime SR. First, we argue that video networks and datasets are not necessary for anime SR due to the repetition use of hand-drawing frames. Instead, we propose an anime image collection pipeline by…

This https://arxiv.org/abs/2311.12410 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

nach0: Multimodal Natural and Chemical Languages Foundation Model
Large Language Models (LLMs) have substantially driven scientific progress in various domains, and many papers have demonstrated their ability to tackle complex problems with creative solutions. Our paper introduces a new foundation model, nach0, capable of solving various chemical and biological tasks: biomedical question answering, named entity recognition, molecular generation, molecular synthesis, attributes prediction, and others. nach0 is a multi-domain and multi-task encoder-decoder LLM …

DIFNet: SAR RFI suppression based on domain invariant features
Fuping Fang, Wenhao Lv, Dahai Dai
https://arxiv.org/abs/2403.02894 https://

DIFNet: SAR RFI suppression based on domain invariant features
Synthetic aperture radar is a high-resolution two-dimensional imaging radar, however, during the imaging process, SAR is susceptible to intentional and unintentional interference, with radio frequency interference (RFI) being the most common type, leading to a severe degradation in image quality. Although inpainting networks have achieved excellent results, their generalization is unclear, and whether they still work effectively in cross-sensor experiments needs further verification. Through ti…

Everyone remember when Potus joined Geocities?
Oh, the way we mocked them.
"Got a spinning logo there Potus?" we'd cry, "ha, how lame"
"Get your own domain you geocity plebs!" we'd say.
Eventually they registered .gov of course to stop the relentless mocking.
it was a different time back then. Global states were expected to run their own fucking internet infrastructure not rely on surveillance capitalists to do it for them.

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
Kaichen Huang, Minghao Shao, Shenghua Wan, Hai-Hang Sun, Shuai Feng, Le Gan, De-Chuan Zhan
https://arxiv.org/abs/2404.03386

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
In many real-world visual Imitation Learning (IL) scenarios, there is a misalignment between the agent's and the expert's perspectives, which might lead to the failure of imitation. Previous methods have generally solved this problem by domain alignment, which incurs extra computation and storage costs, and these methods fail to handle the \textit{hard cases} where the viewpoint gap is too large. To alleviate the above problems, we introduce active sensoring in the visual IL setting and propose…

Heute vor 69 Jahren: Am 5. Mai 1955 zündeten die #USA im Rahmen von Operation Teapot die 13. Atombombe "Apple-2". Teapot war eine Serie von #Kernwaffentests bei der 1955 insgesamt 14 Bomben im Testgebiet in #Nevada

Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti
https://arxiv.org/abs/2403.02983

Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Federated Learning (FL) is a machine learning (ML) approach that enables multiple decentralized devices or edge servers to collaboratively train a shared model without exchanging raw data. During the training and sharing of model updates between clients and servers, data and models are susceptible to different data-poisoning attacks. In this study, our motivation is to explore the severity of data poisoning attacks in the computer network domain because they are easy to implement but difficul…

Defining Expertise: Applications to Treatment Effect Estimation
Alihan H\"uy\"uk, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
https://arxiv.org/abs/2403.00694

Defining Expertise: Applications to Treatment Effect Estimation
Decision-makers are often experts of their domain and take actions based on their domain knowledge. Doctors, for instance, may prescribe treatments by predicting the likely outcome of each available treatment. Actions of an expert thus naturally encode part of their domain knowledge, and can help make inferences within the same domain: Knowing doctors try to prescribe the best treatment for their patients, we can tell treatments prescribed more frequently are likely to be more effective. Yet in…

This https://arxiv.org/abs/2403.17701 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation
Image segmentation holds a vital position in the realms of diagnosis and treatment within the medical domain. Traditional convolutional neural networks (CNNs) and Transformer models have made significant advancements in this realm, but they still encounter challenges because of limited receptive field or high computing complexity. Recently, State Space Models (SSMs), particularly Mamba and its variants, have demonstrated notable performance in the field of vision. However, their feature extract…

Heute vor 62 Jahren: Am 06.04.1962 zündeten die #USA im Rahmen von Operation Nougat die 28. Atombombe "Passaic". Nougat war eine Serie von #Kernwaffentests bei der 61/62 insgesamt 45 Bomben im Testgebiet in #Nevada

Defining Expertise: Applications to Treatment Effect Estimation
Alihan H\"uy\"uk, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
https://arxiv.org/abs/2403.00694

Defining Expertise: Applications to Treatment Effect Estimation
Decision-makers are often experts of their domain and take actions based on their domain knowledge. Doctors, for instance, may prescribe treatments by predicting the likely outcome of each available treatment. Actions of an expert thus naturally encode part of their domain knowledge, and can help make inferences within the same domain: Knowing doctors try to prescribe the best treatment for their patients, we can tell treatments prescribed more frequently are likely to be more effective. Yet in…

A Deep Learning Approach in RIS-based Indoor Localization
Rafael A. Aguiar, Nuno Paulino, Lu\'is M. Pessoa
https://arxiv.org/abs/2405.01965 https://

A Deep Learning Approach in RIS-based Indoor Localization
In the domain of RIS-based indoor localization, our work introduces two distinct approaches to address real-world challenges. The first method is based on deep learning, employing a Long Short-Term Memory (LSTM) network. The second, a novel LSTM-PSO hybrid, strategically takes advantage of deep learning and optimization techniques. Our simulations encompass practical scenarios, including variations in RIS placement and the intricate dynamics of multipath effects, all in Non-Line-of-Sight condit…

SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
https://arxiv.org/abs/2405.01726

SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising
Denoising hyperspectral images (HSIs) is a crucial preprocessing procedure due to the noise originating from intra-imaging mechanisms and environmental factors. Utilizing domain-specific knowledge of HSIs, such as spectral correlation, spatial self-similarity, and spatial-spectral correlation, is essential for deep learning-based denoising. Existing methods are often constrained by running time, space complexity, and computational complexity, employing strategies that explore these priors separ…

Heute vor 58 Jahren: Am 6. April 1966 zündeten die USA im Rahmen von Operation #Flintlock die 29. #Atombombe "Stutz". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

Heute vor 58 Jahren: Am 6. April 1966 zündeten die USA im Rahmen von Operation #Flintlock die 29. #Atombombe "Stutz". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

Heute vor 58 Jahren: Am 5. Mai 1966 zündeten die USA im Rahmen von Operation #Flintlock die 37. #Atombombe "Cyclamen". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

Heute vor 58 Jahren: Am 6. Mai 1966 zündeten die USA im Rahmen von Operation #Flintlock die 38. #Atombombe "Chartreuse". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

Heute vor 58 Jahren: Am 6. Mai 1966 zündeten die USA im Rahmen von Operation #Flintlock die 38. #Atombombe "Chartreuse". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

Heute vor 66 Jahren: Am 05.05.1958 zündete der erste Höhentest der Operation Hardtack I, "Cactus", in 86k Fuß Höhe mit einer Sprengkraft von 1,7 Kt TNT. Dieser Test war Teil einer Serie von 35 #Atomtests, die die USA im Sommer 1958 auf den #Marshallinseln im Pazifik durchführten.<…

Heute vor 71 Jahren: Am 6. April 1954 führten die #USA in #Nevada den #Atomtest "Upshot-Knothole Dixie", Teil der "Operation Upshot-Knothole", durch. Insgesamt wurden bei dieser Operatio…

Heute vor 61 Jahren: Am 05.04.1963 zündeten die #USA im Rahmen von Operation Storax die Atombombe "Ferret Prime". Storax war eine Serie von #Kernwaffentests bei der 62/63 insgesamt 47 Bomben im Testgebiet in

Heute vor 61 Jahren: Am 05.04.1963 zündeten die #USA im Rahmen von Operation Storax die Atombombe "Ferret Prime". Storax war eine Serie von #Kernwaffentests bei der 62/63 insgesamt 47 Bomben im Testgebiet in

Heute vor 62 Jahren: Am 05.04.1962 zündeten die #USA im Rahmen von Operation Nougat die 27. Atombombe "Dormouse Prime". Nougat war eine Serie von #Kernwaffentests bei der 61/62 insgesamt 45 Bomben im Testgebiet in

Heute vor 59 Jahren: Am 05.04.1965 zündeten die #USA im Rahmen von Operation Whetstone die 36. Atombombe "Kestrel". Whetstone war eine Serie von #Kernwaffentests bei der 1964/65 insgesamt 46 Bomben größtenteils im Testgebiet in

Heute vor 11 Jahren: Am 5. März 2013 bricht #Nordkorea jeglichen Kontakt zu #Südkorea ab, einschließlich der einzigen Notrufnummer zwischen den beiden Ländern.

Heute vor 62 Jahren: Am 06.03.1962 zündeten die #USA im Rahmen von Operation Nougat die 22. Atombombe "Ermine". Nougat war eine Serie von #Kernwaffentests bei der 1961/62 insgesamt 45 Bomben im Testgebiet in

Heute vor 62 Jahren: Am 05.03.1962 zündeten die #USA im Rahmen von Operation Nougat die 21. Atombombe "Danny Boy". Nougat war eine Serie von #Kernwaffentests bei der 1961/62 insgesamt 45 Bomben im Testgebiet in