Tootfinder

lkml_reply: Linux kernel reply network
A network of replies among email address found on the Linux kernel mailing list. Nodes are email addresses and each directed edge represents a reply from email address i to email address j. The date of this snapshot is uncertain.
This network has 63399 nodes and 1096440 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Steelers sign Aaron Rodgers to one-year, $13.6 million deal; QB to wear No. 8, address media Tuesday https://www.nfl.com/news/steelers-sign-aaron-rodgers-to-one-year-13-6-million-deal-qb-to-wear-no-8-address-media-…

Cowboys predicted to address cornerback concerns by signing former Bengals stalwart https://www.sportingnews.com/us/nfl/cincinnati-bengals/news/cowboys-predicted-address-cornerbac…

from my link log —
Building accurate postal address matching systems.
https://www.robinlinacre.com/address_matching/
saved 2025-06-30

Tech-ASan: Two-stage check for Address Sanitizer
Yixuan Cao, Yuhong Feng, Huafeng Li, Chongyi Huang, Fangcao Jian, Haoran Li, Xu Wang
https://arxiv.org/abs/2506.05022

Tech-ASan: Two-stage check for Address Sanitizer
Address Sanitizer (ASan) is a sharp weapon for detecting memory safety violations, including temporal and spatial errors hidden in C/C++ programs during execution. However, ASan incurs significant runtime overhead, which limits its efficiency in testing large software. The overhead mainly comes from sanitizer checks due to the frequent and expensive shadow memory access. Over the past decade, many methods have been developed to speed up ASan by eliminating and accelerating sanitizer checks, how…

Our hotel wifi keeps glitching. I'm guessing that there's a captive portal or something that is disabled, but the device randomly wants to send people to that network. Sometimes you'll have a 10.0.x.x IP address and everything will be fine, but other times you connect and you'll get a 192.168.1.x IP address and can't even reach the gateway (192.168.1.250). So on two different laptops, I've had to disable dhcp and hardcode 10.0.x.x IP addresses in order to get working …

Sources: the UK has delayed proposals to regulate AI, with plans to introduce an AI bill in 2026 to address concerns about issues like safety and copyright (The Guardian)
https://www.theguardian.com/technology/202

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

This https://arxiv.org/abs/2505.24305 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping
Recent advancements in 3D robotic manipulation have improved grasping of everyday objects, but transparent and specular materials remain challenging due to depth sensing limitations. While several 3D reconstruction and depth completion approaches address these challenges, they suffer from setup complexity or limited observation information utilization. To address this, leveraging the power of single view 3D object reconstruction approaches, we propose a training free framework SR3D that enables…

A post from the archive 📫:
Find the address of an object in Visual Studio
https://www.poppastring.com/blog/find-the-address-of-an-object-in-visual-studio

Exclusive: ADL chief compares student protesters to ISIS and al-Qaeda in address to Republican officials (The Forward)
https://forward.com/news/726133/greenblatt-adl-protesters-terrorists/
http://www.memeorandum.com/250606/p149#a250606p149

https://www.hrw.org/news/2025/06/03/china-address-tiananmen-massacre-36-years

China: Address Tiananmen Massacre 36 Years On
36 years after the killing of countless peaceful pro-democracy protesters in Beijing, the Chinese government still seeks to erase the memory of the June 1989 Tiananmen Massacre.

Brilliant eBay trick for sellers:
Just make sure your street address is longer than 35 characters - DHL won't accept it, and MAGICALLY your wares won't ever be returned!
WIN/WIN!

Any email address is a valid email address once it has at least one character before the @, one character after the @ and a character after the full stop (.)
You should _not_ be doing any checks beyond that. (Unless the domain name is a known spammy domain/TLD, of course, but that doesn't appear to be the case here)
My email address is a 1 character before the @, 2 characters after the @ and 2 letters after the full stop(.)
It is valid.
#noxp

I know folks here dump on WAPO but my wife likes this columnist, Anne Lamott, and this column is pretty good. I hope the guest link works.
“The one thing liberals need to address before the June parade
Putting Biden’s head on a stake is not helpful.”
Opinion by Anne Lamott
https://wapo.st/4jqeQLP…

The one thing liberals need to address before the June parade
Putting Biden’s head on a stake is not helpful.

Reminder for those on Bluesky!!
I will only see your interactions from Fedi if you follow this account: https://bsky.app/profile/ap.brid.gy

Bridgy Fed for the fediverse (@ap.brid.gy)
Bridgy Fed (https://fed.brid.gy/) bot user for the fediverse. To bridge your Bluesky account to the fediverse, follow this account. To ask a fediverse user to bridge their account, send their address (eg @user@instance) to this account in a chat message.…

Fully-Distributed Construction of Byzantine-Resilient Dynamic Peer-to-Peer Networks
Aayush Gupta, Gopal Pandurangan
https://arxiv.org/abs/2506.04368 https:…

Fully-Distributed Construction of Byzantine-Resilient Dynamic Peer-to-Peer Networks
We address a fundamental problem in Peer-to-Peer (P2P) networks, namely, constructing and maintaining dynamic P2P overlay network topologies with essential properties such as connectivity, low diameter, and high expansion, that are resilient to continuous high churn and the presence of a large number of malicious (Byzantine) nodes. Our main goal is to construct and maintain a sparse (bounded degree) expander topology despite high churn and a large number of Byzantine nodes. Such an expander top…

“Being in the United States is a great risk for anyone -- not just for Venezuelans,”
Diosdado Cabello, the interior minister in Caracas, said after the announcement
“They persecute our countrymen, our people, for no reason.”
https://www.

On the Wasserstein Geodesic Principal Component Analysis of probability measures
Nina Vesseron, Elsa Cazelles, Alice Le Brigant, Thierry Klein
https://arxiv.org/abs/2506.04480

On the Wasserstein Geodesic Principal Component Analysis of probability measures
This paper focuses on Geodesic Principal Component Analysis (GPCA) on a collection of probability distributions using the Otto-Wasserstein geometry. The goal is to identify geodesic curves in the space of probability measures that best capture the modes of variation of the underlying dataset. We first address the case of a collection of Gaussian distributions, and show how to lift the computations in the space of invertible linear maps. For the more general setting of absolutely continuous prob…

OpenCCA: An Open Framework to Enable Arm CCA Research
Andrin Bertschi, Shweta Shinde
https://arxiv.org/abs/2506.05129 https://arxiv.o…

OpenCCA: An Open Framework to Enable Arm CCA Research
Confidential computing has gained traction across major architectures with Intel TDX, AMD SEV-SNP, and Arm CCA. Unlike TDX and SEV-SNP, a key challenge in researching Arm CCA is the absence of hardware support, forcing researchers to develop ad-hoc performance prototypes on non-CCA Arm boards. This approach leads to duplicated efforts, inconsistent performance comparisons, and high barriers to entry. To address this, we present OpenCCA, an open research platform that enables the execution of CC…

A robust approach to sigma point Kalman filtering
Shenglun Yi, Mattia Zorzi
https://arxiv.org/abs/2506.04815 https://arxiv.org/pdf/25…

A robust approach to sigma point Kalman filtering
In this paper, we address a robust nonlinear state estimation problem under model uncertainty by formulating a dynamic minimax game: one player designs the robust estimator, while the other selects the least favorable model from an ambiguity set of possible models centered around the nominal one. To characterize a closed-form expression for the conditional expectation characterizing the estimator, we approximate the center of this ambiguity set by means of a sigma point approximation. Furthermo…

Cowboys address Jalen Ramsey trade rumors, give injury update on Trevon Diggs as CB remains huge question mark

https://www.cbssports.com/nfl…

Raiders predicted to finally sign Nate Hobbs replacement in 56-game starting cornerback https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-predicted-finally-sign-nate-ho…

This https://arxiv.org/abs/2401.08960 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutions
Information workers increasingly struggle with productivity challenges in modern workplaces, facing difficulties in managing time and effectively utilizing workplace analytics data for behavioral improvement. Despite the availability of productivity metrics through enterprise tools, workers often fail to translate this data into actionable insights. We present a comprehensive, user-centric approach to address these challenges through AI-based productivity agents tailored to users' needs. Utiliz…

"How plants could help us detect, and even destroy, dangerous ‘forever chemicals’"
#Plants #PFAS #ForeverChemicals

How plants could help us detect, and even destroy, dangerous ‘forever chemicals'
Tools to address PFAS pollution are limited. Here's what researchers are learning about how these chemicals travel through the environment — and what farmers and landowners can do about it.

For anyone else who uses Firefox, and heard about https://blog.mozilla.org/en/firefox/address-bar/ and was wondering why e.g. @bookmarks wasn't working in their address bar, I happened upon the reason in my setup last night.
My profile has:
Bookmarks: *
…

This https://arxiv.org/abs/2501.18878 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Integrated Sensing and Communication System Based on Radio Frequency Resonance Beam
To address the complex beam control in traditional multiple-input multiple-output (MIMO) systems, researchers have proposed adaptive beam alignment using retro-directive antenna (RDA) arrays. This approach creates echo resonance between the base station (BS) and user equipment (UE), significantly reducing computational load. However, conventional resonant beam systems (RBS) suffer from echo interference due to the shared uplink and downlink frequency. Therefore, this paper proposes an innovativ…

A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement
Isha Rao, Sanjay Ghosh
https://arxiv.org/abs/2506.04470 https://

A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement
Low-light image denoising and enhancement are challenging, especially when traditional noise assumptions, such as Gaussian noise, do not hold in majority. In many real-world scenarios, such as low-light imaging, noise is signal-dependent and is better represented as Poisson noise. In this work, we address the problem of denoising images degraded by Poisson noise under extreme low-light conditions. We introduce a light-weight deep learning-based method that integrates Retinex based decomposition…

This https://arxiv.org/abs/2505.19552 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

On scalable and efficient training of diffusion samplers
We address the challenge of training diffusion models to sample from unnormalized energy distributions in the absence of data, the so-called diffusion samplers. Although these approaches have shown promise, they struggle to scale in more demanding scenarios where energy evaluations are expensive and the sampling space is high-dimensional. To address this limitation, we propose a scalable and sample-efficient framework that properly harmonizes the powerful classical sampling method and the diffu…

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
https://arxiv.org/abs/2506.04551

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
Traditional offline evaluation methods for recommender systems struggle to capture the complexity of modern platforms due to sparse behavioural signals, noisy data, and limited modelling of user personality traits. While simulation frameworks can generate synthetic data to address these gaps, existing methods fail to replicate behavioural diversity, limiting their effectiveness. To overcome these challenges, we propose the Personality-driven User Behaviour Simulator (PUB), an LLM-based simulati…

TL;DR Amazon's SES in sandbox mode only sends to validated addresses and identities defined in the configuration.
https://winkelwagen.de/2025/05/29/aws-ses-message-rejected-email-address-is-not-verified/

AWS SES Message rejected: Email address is not verified.
I configured one of our Magento 2 stage instances today to use Amazon SES to send emails instead of dumping them into mailhog. But I got the following error: Message rejected: Email address is not …

This https://arxiv.org/abs/2406.10554 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
In clinical trials, principal stratification analysis is commonly employed to address the issue of truncation by death, where a subject dies before the outcome can be measured. However, in practice, many survivor outcomes may remain uncollected or be missing not at random, posing a challenge to standard principal stratification analyses. In this paper, we explore the identification, estimation, and bounds of the average treatment effect within a subpopulation of individuals who would potentiall…

My email address has been the same since 1992, when Ross Perot was in presidential debates with Bill Clinton and George H. W. Bush.
That does come with some challenges: desirable email can get overwhelmed within the constant firehose of unwanted email. (So if I've overlooked email from you, please don't hesitate to let me know!)
But overall I'm really glad to have had a stable address where people have been able to reach me for more than 32 years. I can't say that…

This https://arxiv.org/abs/2506.03612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…

Connectivity-Preserving Minimum Separator in AT-free Graphs
Let $A$ and $B$ be disjoint, non-adjacent vertex-sets in an undirected, connected graph $G$, whose vertices are associated with positive weights. We address the problem of identifying a minimum-weight subset of vertices $S\subseteq V(G)$ that, when removed, disconnects $A$ from $B$ while preserving the internal connectivity of both $A$ and $B$. We call such a subset of vertices a connectivity-preserving, or safe minimum $A,B$-separator. Deciding whether a safe $A,B$-separator exists is NP-hard …

Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems
Andrea Munari, Federico Chiariotti, Leonardo Badia, Petar Popovski
https://arxiv.org/abs/2506.04804

Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems
The widespread adoption of age of information (AoI) as a meaningful and analytically tractable information freshness metric has led to a wide body of work on the timing performance of Internet of things (IoT) systems. However, the spatial correlation inherent to environmental monitoring has been mostly neglected in the recent literature, due to the significant modeling complexity it introduces. In this work, we address this gap by presenting a model of spatio-temporal information freshness, con…

This https://arxiv.org/abs/2505.08421 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

e-GPU: An Open-Source and Configurable RISC-V Graphic Processing Unit for TinyAI Applications
Graphics processing units (GPUs) excel at parallel processing, but remain largely unexplored in ultra-low-power edge devices (TinyAI) due to their power and area limitations, as well as the lack of suitable programming frameworks. To address these challenges, this work introduces embedded GPU (e-GPU), an open-source and configurable RISC-V GPU platform designed for TinyAI devices. Its extensive configurability enables area and power optimization, while a dedicated Tiny-OpenCL implementation pro…

OxO2 -- A SSSOM mapping browser for logically sound crosswalks
Henriette Harmse, Haider Iqbal, Helen Parkinson, James McLaughlin
https://arxiv.org/abs/2506.04286

OxO2 -- A SSSOM mapping browser for logically sound crosswalks
EMBL-EBI created OxO to enable users to map between datasets that are annotated with different ontologies. Mappings identified by the first version of OxO were not necessarily logically sound, missed important provenance information such as author and reviewer, and could timeout or crash for certain requests. In this paper we introduce OxO2 to address these concerns. Provenance is addressed by implementing SSSOM, a mapping standard that defines provenance for mappings. SSSOM defines the conditi…

Read more at: #NSFIAA #IWA

This https://arxiv.org/abs/2505.19644 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution
A key research area in deepfake speech detection is source tracing - determining the origin of synthesised utterances. The approaches may involve identifying the acoustic model (AM), vocoder model (VM), or other generation-specific parameters. However, progress is limited by the lack of a dedicated, systematically curated dataset. To address this, we introduce STOPA, a systematically varied and metadata-rich dataset for deepfake speech source tracing, covering 8 AMs, 6 VMs, and diverse paramete…

This https://arxiv.org/abs/2504.01759 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Alpha-Beta HMM: Hidden Markov Model Filtering with Equal Exit Probabilities and a Step-Size Parameter
The hidden Markov model (HMM) provides a powerful framework for inference in time-varying environments, where the underlying state evolves according to a Markov chain. To address the optimal filtering problem in general dynamic settings, we propose the $αβ$-HMM algorithm, which simplifies the state transition model to a Markov chain with equal exit probabilities and introduces a step-size parameter to balance the influence of observational data and the model. By analyzing the algorithm's dyna…

Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
Stefano Rinaldi, Alexandre Toubiana, Jonathan R. Gair
https://arxiv.org/abs/2506.05153

Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
Gravitational-wave astronomy has entered a regime where it can extract information about the population properties of the observed binary black holes. The steep increase in the number of detections will offer deeper insights, but it will also significantly raise the computational cost of testing multiple models. To address this challenge, we propose a procedure that first performs a non-parametric (data-driven) reconstruction of the underlying distribution, and then remaps these results onto a …

MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball
Haifeng Sun, Yu Xiong, Runze Wu, Kai Wang, Lan Zhang, Changjie Fan, Shaojie Tang, Xiang-Yang Li
https://arxiv.org/abs/2506.04602

MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball
The burgeoning growth of the esports and multiplayer online gaming community has highlighted the critical importance of evaluating the Most Valuable Player (MVP). The establishment of an explainable and practical MVP evaluation method is very challenging. In our study, we specifically focus on play-by-play data, which records related events during the game, such as assists and points. We aim to address the challenges by introducing a new MVP evaluation framework, denoted as \oursys, which lever…

Thanking the @… folks for the excellent work they do, and especially for their upcoming support for security certificates for IP addresses which is nothing short of revolutionary for the future of the (Small) Web.

Getting ready to issue IP address certificates
Happy to see the progress on this. Thought you might be interested in seeing how important this feature is going to be for the Small Web: It’s going to be invaluable for helping decentralise the web. Thank you for the work you do 🙂

Optimal protocol for collisional Brownian engines
Gustavo A. L. For\~ao
https://arxiv.org/abs/2506.05078 https://arxiv.org/pdf/2506.0…

Optimal protocol for collisional Brownian engines
Collisional Brownian engines have recently gained attention as alternatives to conventional nanoscale engines. However, a comprehensive optimization of their performance, which could serve as a benchmark for future engine designs, is still lacking. In this work, we address this gap by deriving and analyzing the optimal driving protocol for a collisional Brownian engine. By maximizing the average output work, we show that the optimal protocol consists of linear force segments separated by impuls…

Grey Rhino Warning: IPv6 is Becoming Fertile Ground for Reflection Amplification Attacks
Ling Hu, Tao Yang, Yu Pang, Bingnan Hou, Zhiping Cai, Bo Yu
https://arxiv.org/abs/2506.04768

Grey Rhino Warning: IPv6 is Becoming Fertile Ground for Reflection Amplification Attacks
Distributed Denial-of-Service (DDoS) attacks represent a cost-effective and potent threat to network stability. While extensively studied in IPv4 networks, DDoS implications in IPv6 remain underexplored. The vast IPv6 address space renders brute-force scanning and amplifier testing for all active addresses impractical. Innovatively, this work investigates AS-level vulnerabilities to reflection amplification attacks in IPv6. One prerequisite for amplification presence is that it is located in …

It's 38 minutes past midnight here. I've completed the deletion of at least 40 accounts I no longer use. Some of them are true PITA, spinning you around in support/chatbot/send mail hell.
I also changed at least 5 accounts from my Gmail address to another, privacy oriented provider.
#privacy #data

This https://arxiv.org/abs/2308.02636 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
The topology of the large-scale structure of the universe contains valuable information on the underlying cosmological parameters. While persistent homology can extract this topological information, the optimal method for parameter estimation from the tool remains an open question. To address this, we propose a neural network model to map persistence images to cosmological parameters. Through a parameter recovery test, we demonstrate that our model makes accurate and precise estimates, consider…

This https://arxiv.org/abs/2409.03079 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On the backward stability of s-step GMRES
Communication, i.e., data movement, is a critical bottleneck for the performance of classical Krylov subspace method solvers on modern computer architectures. Variants of these methods which avoid communication have been introduced, which, while equivalent in exact arithmetic, can be unstable in finite precision. In this work, we address the backward stability of $s$-step GMRES, also known as communication-avoiding GMRES. Compared to the ``modular framework'' proposed in [A.~Buttari, N.~J.~High…

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
Y. R. Fernandez, M. W. Buie, P. Lacerda, R. Marschall
https://arxiv.org/abs/2506.04483 https://

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
We present a wide-ranging but in-depth analysis of Centaurs, focusing on their physical and structural aspects. Centaurs, originating from the Scattered Disk and Kuiper Belt, play a crucial role in our understanding of Solar System evolution. We first examine how biases in discovery and measurement affect our understanding of the Centaur size distribution. In particular we address the strong dependence of the census on perihelion distance and the broad distribution of Centaur geometric albedos.…

Well this was a fun discovery.
Let's see how many of you get this right.
If you read MDIO address 0x0 of a gigabit Ethernet PHY and read the values in bits 13/6 and 8 (speed and duplex state), do you get:
1) The last value you wrote to the register, regardless of actual link conditions
2) The actual current speed/duplex state the PHY is operating in
3) Something else / undefined

Sedimentation of particulate suspensions under stagnant conditions in horizontal pipes
Tanmoy Das, Daniel Lester, Anthony Stickland, Nicky Eshtiaghi
https://arxiv.org/abs/2506.04443

Sedimentation of particulate suspensions under stagnant conditions in horizontal pipes
Sedimentation of particulate suspensions in horizontal pipes can lead to formation, growth and consolidation of a solid-like bed which can severely retard pipeline performance. As stagnant flow conditions frequently arise during industrial processes, critical operational questions are: (i) at what rate and extent does sedimentation proceed, and (ii) can the sedimentation dynamics be predicted from conventional suspension characterisation methods? We address these questions by characterising the…

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe
https://arxiv.org/abs/2506.00582

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Psychology research has shown that humans are poor at estimating their performance on tasks, tending towards underconfidence on easy tasks and overconfidence on difficult tasks. We examine three LLMs, Llama-3-70B-instruct, Claude-3-Sonnet, and GPT-4o, on a range of QA tasks of varying difficulty, and show that models exhibit subtle differences from human patterns of overconfidence: less sensitive to task difficulty, and when prompted to answer based on different personas -- e.g., expert vs laym…

Structural stability of three dimensional steady Prandtl equation
Weiming Shen, Yue Wang, Tong Yang
https://arxiv.org/abs/2506.04578 https://

Structural stability of three dimensional steady Prandtl equation
The well-posedness of the three dimensional Prandtl equation is an outstanding open problem due to the appearance of the secondary flow even though there are studies on analytic and Gevrey function spaces. This problem is raised as the third open problem in the classical book by Oleinik and Samokhin [43]. This paper aims to address this open problem in the steady case by introducing a new approach to study the structural stability of background profile that includes the famous Blasius solutions…

#LetsEncrypt issues first #IP address certificate after years of requests 🌐 Enables #HTTPS for services accessed by numerical addresses. Short-lived 6-day certificates via

polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design
Anagha Savit, Harikrishna Sahu, Shivank Shukla, Wei Xiong, Rampi Ramprasad
https://arxiv.org/abs/2506.04233

polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design
Designing polymers for targeted applications and accurately predicting their properties is a key challenge in materials science owing to the vast and complex polymer chemical space. While molecular language models have proven effective in solving analogous problems for molecular discovery, similar advancements for polymers are limited. To address this gap, we propose polyBART, a language model-driven polymer discovery capability that enables rapid and accurate exploration of the polymer design …

Handle-based Mesh Deformation Guided By Vision Language Model
Xingpeng Sun, Shiyang Jia, Zherong Pan, Kui Wu, Aniket Bera
https://arxiv.org/abs/2506.04562 …

Handle-based Mesh Deformation Guided By Vision Language Model
Mesh deformation is a fundamental tool in 3D content manipulation. Despite extensive prior research, existing approaches often suffer from low output quality, require significant manual tuning, or depend on data-intensive training. To address these limitations, we introduce a training-free, handle-based mesh deformation method. % Our core idea is to leverage a Vision-Language Model (VLM) to interpret and manipulate a handle-based interface through prompt engineering. We begin by applying cone s…

Nombre Effectif de Partis Politiques en Afrique: Une Nouvelle M\'ethode pour un Calcul Objectif et Institutionnellement Neutre
Adama Nouboukpo, Kodzo Michel Aladji, Muktar Bappa
https://arxiv.org/abs/2506.04279

Nombre Effectif de Partis Politiques en Afrique: Une Nouvelle Méthode pour un Calcul Objectif et Institutionnellement Neutre
Political fragmentation in Africa poses to a significant challenge to effective governance and stability. Traditional measures of party system fragmentation, such as the Effective Number of Parties (ENP) index, often fail to capture the nuanced realities of African political landscapes, particularly the influence of dominant parties, fluid party affiliations, and the impact of ethnic and regional cleavages. To address these limitations, this paper introduces two novel "apolitical" or "instituti…

#CFP: Meeting at the Crossroads: Understanding the Intersection of Rhetoric, Race, and Religion
https://ift.tt/BRQ0Ya6
Laurent Pernot wrote, “Religion is intimately linked with words. Everyone knows that the spoken…

#CFP: Meeting at the Crossroads: Understanding the Intersection of Rhetoric, Race, and Religion
Laurent Pernot wrote, “Religion is intimately linked with words. Everyone knows that the spoken and written word plays an essential role in religion, as language is necessarily used to address the gods or God, to speak about the divine or the sacred, and to express religious feeling or awareness”. Thus, Pernot called for an understanding of the role rhetoric plays in our expression and performance of religion.

Two dormant Bitcoin wallets, each holding 10,000 "Satoshi era" BTC since 2011, transferred the coins to new wallets using a modern, lower-fee address format (Shaurya Malwa/CoinDesk)
https://www.coindesk.com/markets/2025/07/0…

Eight Bitcoin Wallets Move 80,000 BTC in Largest Ever ‘Satoshi Era’ Transfers
All of these moved coins are among the rarest class of BTC: mined or transacted during the “Satoshi era,” a loosely defined period from bitcoin’s launch in 2009 through 2011, when its pseudonymous creator was still active online.

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics
Johann K\"ohne, Fabian Mies
https://arxiv.org/abs/2506.05112 https://

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics
For nonparametric inference about a function, multiscale testing procedures resolve the need for bandwidth selection and achieve asymptotically optimal detection performance against a broad range of alternatives. However, critical values strongly depend on the noise distribution, and we argue that existing methods are either statistically infeasible, or asymptotically sub-optimal. To address this methodological challenge, we show how to develop a feasible multiscale test via weak convergence ar…

Hole spin qubits in unstrained Germanium layers
Lorenzo Mauro, Mauricio J. Rodriguez, Esteban A. Rodriguez-Mena, Yann-Michel Niquet
https://arxiv.org/abs/2506.04977

Hole spin qubits in unstrained Germanium layers
Strained germanium heterostructures are one of the most promising material for hole spin qubits but suffer from the strong anisotropy of the gyromagnetic factors that hinders the optimization of the magnetic field orientation. The figures of merit (Rabi frequencies, lifetimes...) can indeed vary by an order of magnitude within a few degrees around the heterostructure plane. We propose to address this issue by confining the holes at the interface of an unstrained, bulk Ge substrate or thick buff…

This https://arxiv.org/abs/2308.12005 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Delay Update in determinant quantum Monte Carlo
Determinant quantum Monte Carlo (DQMC) is a widely used unbiased numerical method for simulating strongly correlated electron systems. However, the update process in DQMC is often a bottleneck for its efficiency. To address this issue, we propose a generalized delay update scheme that can handle both onsite and extended interactions. Our delay update scheme can be implemented in both zero-temperature and finite-temperature versions of DQMC. We apply the delay update scheme to various strongly c…

Approximation of functions in mixed norm spaces
Priyanka Majethiya, Shivam Bajpeyi, Dhiraj Patel
https://arxiv.org/abs/2506.04787 https://

Approximation of functions in mixed norm spaces
The concept of mixed norm spaces has emerged as a significant interest in fields such as harmonic analysis. In addition, the problem of function approximation through sampling series has been particularly noteworthy in the realm of approximation theory. This paper aims to address both these aspects. Here we deal with the problem of function approximation in diverse mixed norm function spaces. We utilise the family of Kantorovich type sampling operators as approximator for the functions in mixed…

Leveraging Reward Models for Guiding Code Review Comment Generation
Oussama Ben Sghaier, Rosalia Tufano, Gabriele Bavota, Houari Sahraoui
https://arxiv.org/abs/2506.04464

Leveraging Reward Models for Guiding Code Review Comment Generation
Code review is a crucial component of modern software development, involving the evaluation of code quality, providing feedback on potential issues, and refining the code to address identified problems. Despite these benefits, code review can be rather time consuming, and influenced by subjectivity and human factors. For these reasons, techniques to (partially) automate the code review process have been proposed in the literature. Among those, the ones exploiting deep learning (DL) are able to …

This https://arxiv.org/abs/2401.04003 has been replaced.
link: https://scholar.google.com/scholar?q=a

Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications
Research in robotic planning with temporal logic specifications, such as Linear Temporal Logic (LTL), has relied on single formulas. However, as task complexity increases, LTL formulas become lengthy, making them difficult to interpret and generate, and straining the computational capacities of planners. To address this, we introduce a hierarchical structure for a widely used specification type -- LTL on finite traces (LTL$_f$). The resulting language, termed H-LTL$_f$, is defined with both its…

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

This https://arxiv.org/abs/2409.18858 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Predicting memorization within Large Language Models fine-tuned for classification
Large Language Models have received significant attention due to their abilities to solve a wide range of complex tasks. However these models memorize a significant proportion of their training data, posing a serious threat when disclosed at inference time. To mitigate this unintended memorization, it is crucial to understand what elements are memorized and why. This area of research is largely unexplored, with most existing works providing a posteriori explanations. To address this gap, we pro…

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Narangerelt Batsoyol, Jonathan Guiang, Diego Davila, Aashay Arora, Philip Chang, Frank W\"urthwein, Steven Swanson
https://arxiv.org/abs/2506.04507

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process is bottlenecked by slow data transfers between storage and compute nodes. To address this, we introduce SkimROOT, a near-data filtering system leveraging Data Processing Units (DPUs) to accelerate LHC data analysis. By performing filtering directly on storage servers and returning only the relevant data, SkimROOT min…

PixCell: A generative foundation model for digital histopathology images
Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Tahsin Kurc, Rajarsi R. Gupta, Joel Saltz, Dimitris Samaras
https://arxiv.org/abs/2506.05127

PixCell: A generative foundation model for digital histopathology images
The digitization of histology slides has revolutionized pathology, providing massive datasets for cancer diagnosis and research. Contrastive self-supervised and vision-language models have been shown to effectively mine large pathology datasets to learn discriminative representations. On the other hand, generative models, capable of synthesizing realistic and diverse images, present a compelling solution to address unique problems in pathology that involve synthesizing images; overcoming annota…

"Pumping Water Onto Sea Ice Could Halt its Loss in the Arctic—Nonprofit Proves ‘Naive’ Idea Plausible"
#Arctic #Climate #ClimateChange

Pumping Water Onto Sea Ice Could Halt Ice Loss in the Arctic—Nonprofit Proves 'Naive' Idea Plausible
The craziness of the whole endeavor is only matched by the urgency with which they believe something must be done to address sea ice loss.

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
Lingyuan Liu, Mengxiang Zhang
https://arxiv.org/abs/2506.04762

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
Large language models (LLMs)-based query expansion for information retrieval augments queries with generated hypothetical documents with LLMs. However, its performance relies heavily on the scale of the language models (LMs), necessitating larger, more advanced LLMs. This approach is costly, computationally intensive, and often has limited accessibility. To address these limitations, we introduce GOLFer - Smaller LMs-Generated Documents Hallucination Filter & Combiner - a novel method leveragin…

A Newton Augmented Lagrangian Method for Symmetric Cone Programming with Complexity Analysis
Rui-Jin Zhang, Ruoyu Diao, Xin-Wei Liu, Yu-Hong Dai
https://arxiv.org/abs/2506.04802

A Newton Augmented Lagrangian Method for Symmetric Cone Programming with Complexity Analysis
Symmetric cone programming incorporates a broad class of convex optimization problems, including linear programming, second-order cone programming, and semidefinite programming. Although the augmented Lagrangian method (ALM) is well-suited for large-scale scenarios, its subproblems are often not second-order continuously differentiable, preventing direct use of classical Newton methods. To address this issue, we observe that barrier functions from interior-point methods (IPMs) naturally serve a…

BVLSM: Write-Efficient LSM-Tree Storage via WAL-Time Key-Value Separation
Ming Li, Wendi Cheng, Jiahe Wei, Xueqiang Shan, Liu Weikai, Xiaonan Zhao, Xiao Zhang
https://arxiv.org/abs/2506.04678

BVLSM: Write-Efficient LSM-Tree Storage via WAL-Time Key-Value Separation
Modern data-intensive applications increasingly store and process big-value items, such as multimedia objects and machine learning embeddings, which exacerbate storage inefficiencies in Log-Structured Merge-Tree (LSM)-based key-value stores. This paper presents BVLSM, a Write-Ahead Log (WAL)-time key-value separation mechanism designed to address three key challenges in LSM-Tree storage systems: write amplification, poor memory utilization, and I/O jitter under big-value workloads. Unlike state…

Online matching on stochastic block model
Maria Cherifa (MAP5, CREST), Cl\'ement Calauz\`enes (CREST), Vianney Perchet (CREST)
https://arxiv.org/abs/2506.04921

Online matching on stochastic block model
While online bipartite matching has gained significant attention in recent years, existing analyses in stochastic settings fail to capture the performance of algorithms on heterogeneous graphs, such as those incorporating inter-group affinities or other social network structures. In this work, we address this gap by studying online bipartite matching within the stochastic block model (SBM). A fixed set of offline nodes is matched to a stream of online arrivals, with connections governed probabi…

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
Emiliano Acevedo, Mart\'in Rocamora, Magdalena Fuentes
https://arxiv.org/abs/2506.04376

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
Audio-text models are widely used in zero-shot environmental sound classification as they alleviate the need for annotated data. However, we show that their performance severely drops in the presence of background sound sources. Our analysis reveals that this degradation is primarily driven by SNR levels of background soundscapes, and independent of background type. To address this, we propose a novel method that quantifies and integrates the contribution of background sources into the classifi…

QiMeng: Fully Automated Hardware and Software Design for Processor Chip
Rui Zhang, Yuanbo Wen, Shuyao Cheng, Di Huang, Shaohui Peng, Jiaming Guo, Pengwei Jin, Jiacheng Zhao, Tianrui Ma, Yaoyu Zhu, Yifan Hao, Yongwei Zhao, Shengwen Liang, Ying Wang, Xing Hu, Zidong Du, Huimin Cui, Ling Li, Qi Guo, Yunji Chen
https://arxiv.org/abs…

QiMeng: Fully Automated Hardware and Software Design for Processor Chip
Processor chip design technology serves as a key frontier driving breakthroughs in computer science and related fields. With the rapid advancement of information technology, conventional design paradigms face three major challenges: the physical constraints of fabrication technologies, the escalating demands for design resources, and the increasing diversity of ecosystems. Automated processor chip design has emerged as a transformative solution to address these challenges. While recent breakthr…

Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and P\'olya-Gamma Augmentation
Shu Tamano, Yui Tomo
https://arxiv.org/abs/2506.04675

Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and Pólya-Gamma Augmentation
The Cox regression model and its Bayesian extensions are widely used in survival analysis. However, standard Bayesian approaches require modeling of the baseline hazard, and their full conditional distributions lack closed-form expressions. Therefore, the Metropolis-Hastings sampling algorithm is typically employed, whose efficiency is highly sensitive to the choice of proposal distribution. To address these issues, we propose the GS4Cox, an efficient Gibbs sampling algorithm for the Cox regres…

This https://arxiv.org/abs/2503.03076 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Non-Affine Extensions of the Raychaudhuri Equation in the K-essence Framework
We present a new avenue of the Raychaudhuri Equation (RE) by introducing a non-affine parametrization within the k-essence framework. This modification accounts for non-geodesic flow curves, leading to emergent repulsive effects in cosmic evolution. Using a DBI-type k-essence Lagrangian, we derive a modified RE and demonstrate its ability to address the Hubble tension while predicting a natural emergence of a dynamical dark energy equation of state. Our Bayesian analysis, constrained by cosmolo…

Chrome for Android is rolling out a feature that lets users move the address bar to the bottom of the screen, after it launched for iOS users in 2023 (Jay Peters/The Verge)
https://www.theverge.com/news/691718/google-android-chrome-address-bar-bottom

Google finally lets Android users put Chrome’s address bar on the bottom
Google is starting to roll out a feature for Chrome on Android that lets users move the address bar to the bottom of the screen. The feature is already available on iOS Chrome.

This https://arxiv.org/abs/2305.15549 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
Improving the accuracy of soil moisture estimation is required for advancing irrigation scheduling and water conservation efforts. Central to this task are soil hydraulic parameters, which govern moisture dynamics but are rarely known precisely and must therefore be inferred from observational data. In large-scale agricultural fields, estimating the complete set of these parameters is often impractical due to the sparse and noisy nature of available measurements. To address this challenge, this…

Numerical analysis for constrained and unconstrained Q-tensor energies for liquid crystals
Heiko Gimperlein, Ruma R. Maity
https://arxiv.org/abs/2506.04880

Numerical analysis for constrained and unconstrained Q-tensor energies for liquid crystals
This paper introduces a comprehensive finite element approximation framework for three-dimensional Landau-de Gennes $Q$-tensor energies for nematic liquid crystals, with a particular focus on the anisotropy of the elastic energy and the Ball-Majumdar singular potential. This potential imposes essential physical constraints on the eigenvalues of the $Q$-tensor, ensuring realistic modeling. We address the approximation of regular solutions to nonlinear elliptic partial differential equations with…

This https://arxiv.org/abs/2409.08704 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

QueryCAD: Grounded Question Answering for CAD Models
CAD models are widely used in industry and are essential for robotic automation processes. However, these models are rarely considered in novel AI-based approaches, such as the automatic synthesis of robot programs, as there are no readily available methods that would allow CAD models to be incorporated for the analysis, interpretation, or extraction of information. To address these limitations, we propose QueryCAD, the first system designed for CAD question answering, enabling the extraction o…

This https://arxiv.org/abs/2505.24492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Object Centric Concept Bottlenecks
Developing high-performing, yet interpretable models remains a critical challenge in modern AI. Concept-based models (CBMs) attempt to address this by extracting human-understandable concepts from a global encoding (e.g., image encoding) and then applying a linear classifier on the resulting concept activations, enabling transparent decision-making. However, their reliance on holistic image encodings limits their expressiveness in object-centric real-world settings and thus hinders their abilit…

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection
Wuyang Li, Zhu Yu, Alexandre Alahi
https://arxiv.org/abs/2506.04623 https://

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection
3D semantic occupancy prediction aims to reconstruct the 3D geometry and semantics of the surrounding environment. With dense voxel labels, prior works typically formulate it as a dense segmentation task, independently classifying each voxel. However, this paradigm neglects critical instance-centric discriminability, leading to instance-level incompleteness and adjacent ambiguities. To address this, we highlight a free lunch of occupancy labels: the voxel-level class label implicitly provides i…

This https://arxiv.org/abs/2502.00698 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
IQ testing has served as a foundational methodology for evaluating human cognitive capabilities, deliberately decoupling assessment from linguistic background, language proficiency, or domain-specific knowledge to isolate core competencies in abstraction and reasoning. Yet, artificial intelligence research currently lacks systematic benchmarks to quantify these critical cognitive capabilities in multimodal systems. To address this crucial gap, we propose MM-IQ, a comprehensive evaluation framew…

This https://arxiv.org/abs/2409.17469 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

VertiSelector: Automatic Curriculum Learning for Wheeled Mobility on Vertically Challenging Terrain
Reinforcement Learning (RL) has the potential to enable extreme off-road mobility by circumventing complex kinodynamic modeling, planning, and control by simulated end-to-end trial-and-error learning experiences. However, most RL methods are sample-inefficient when training in a large amount of manually designed simulation environments and struggle at generalizing to the real world. To address these issues, we introduce VertiSelector (VS), an automatic curriculum learning framework designed to …

Distributed lag non-linear models with Laplacian-P-splines for analysis of spatially structured time series
Sara Rutten, Bryan Sumalinab, Oswaldo Gressani, Thomas Neyens, Elisa Duarte, Niel Hens, Christel Faes
https://arxiv.org/abs/2506.04814

Distributed lag non-linear models with Laplacian-P-splines for analysis of spatially structured time series
Distributed lag non-linear models (DLNM) have gained popularity for modeling nonlinear lagged relationships between exposures and outcomes. When applied to spatially referenced data, these models must account for spatial dependence, a challenge that has yet to be thoroughly explored within the penalized DLNM framework. This gap is mainly due to the complex model structure and high computational demands, particularly when dealing with large spatio-temporal datasets. To address this, we propose a…

Exponential Time Differencing Runge-Kutta Discontinuous Galerkin (ETD-RKDG) Methods for Nonlinear Degenerate Parabolic Equations
Ziyao Xu, Yong-Tao Zhang
https://arxiv.org/abs/2506.04416

Exponential Time Differencing Runge-Kutta Discontinuous Galerkin (ETD-RKDG) Methods for Nonlinear Degenerate Parabolic Equations
In this paper, we study high-order exponential time differencing Runge-Kutta (ETD-RK) discontinuous Galerkin (DG) methods for nonlinear degenerate parabolic equations. This class of equations exhibits hyperbolic behavior in degenerate regions and parabolic behavior in non-degenerate regions, resulting in sharp wave fronts in the solution profiles and a parabolic-type time-step restriction, $τ\sim O(h^2)$, for explicit time integration. To address these challenges and solve such equations in co…

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
https://arxiv.org/abs/2506.02001

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
To address data locality and privacy restrictions, Federated Learning (FL) has recently been adopted to fine-tune large language models (LLMs), enabling improved performance on various downstream tasks without requiring aggregated data. However, the repeated exchange of model updates in FL can result in prohibitively high communication costs, hindering the distributed learning process. To address this challenge, we propose EcoLoRA, a novel communication-efficient federated fine-tuning framework…

This https://arxiv.org/abs/2506.00691 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
Training reinforcement learning (RL) agents often requires significant computational resources and extended training times. To address this, we build upon the foundation laid by Google Brain's Sensory Neuron, which introduced a novel neural architecture for reinforcement learning tasks that maintained permutation in-variance in the sensory neuron system. While the baseline model demonstrated significant performance improvements over traditional approaches, we identified opportunities to enhance…

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
https://arxiv.org/abs/2506.03396

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs
Numerous Fault Localisation (FL) and repair techniques have been proposed to address faults in Deep Learning (DL) models. However, their effectiveness in practical applications remains uncertain due to the reliance on pre-defined rules. This paper presents a comprehensive evaluation of state-of-the-art FL and repair techniques, examining their advantages and limitations. Moreover, we introduce a novel approach that harnesses the power of Large Language Models (LLMs) in localising and repairing …

A Fast, Accurate and Oscillation-free Spectral Collocation Solver for High-dimensional Transport Problems
Nicola Cavallini, Gianmarco Manzini, Daniele Funaro, Andrea Favalli
https://arxiv.org/abs/2506.04732

A Fast, Accurate and Oscillation-free Spectral Collocation Solver for High-dimensional Transport Problems
Transport phenomena-describing the movement of particles, energy, or other physical quantities-are fundamental in various scientific disciplines, including nuclear physics, plasma physics, astrophysics, engineering, and the natural sciences. However, solving the associated seven-dimensional transport equations poses a significant computational challenge due to the curse of dimensionality. We introduce the Tensor Train Superconsistent Spectral (T${^2}$S${^2}$) solver to address this challeng…

This https://arxiv.org/abs/2503.21224 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Efficient Learning for Entropy-Regularized Markov Decision Processes via Multilevel Monte Carlo
Designing efficient learning algorithms with complexity guarantees for Markov decision processes (MDPs) with large or continuous state and action spaces remains a fundamental challenge. We address this challenge for entropy-regularized MDPs with Polish state and action spaces, assuming access to a generative model of the environment. We propose a novel family of multilevel Monte Carlo (MLMC) algorithms that integrate fixed-point iteration with MLMC techniques and a generic stochastic approximat…

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

VISCA: Inferring Component Abstractions for Automated End-to-End Testing
Parsa Alian, Martin Tang, Ali Mesbah
https://arxiv.org/abs/2506.04161 https://

VISCA: Inferring Component Abstractions for Automated End-to-End Testing
Providing optimal contextual input presents a significant challenge for automated end-to-end (E2E) test generation using large language models (LLMs), a limitation that current approaches inadequately address. This paper introduces Visual-Semantic Component Abstractor (VISCA), a novel method that transforms webpages into a hierarchical, semantically rich component abstraction. VISCA starts by partitioning webpages into candidate segments utilizing a novel heuristic-based segmentation method. Th…

This https://arxiv.org/abs/2503.22733 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
Neural Architecture Search (NAS) is an automated technique to design optimal neural network architectures for a specific workload. Conventionally, evaluating candidate networks in NAS involves extensive training, which requires significant time and computational resources. To address this, training-free NAS has been proposed to expedite network evaluation with minimal search time. However, state-of-the-art training-free NAS algorithms struggle to precisely distinguish well-performing networks f…

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Ram Vasudevan, Maani Ghaffari, Luca Carlone
https://arxiv.org/abs/2506.00838

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Designing optimal Bayes filters for nonlinear non-Gaussian systems is a challenging task. The main difficulties are: 1) representing complex beliefs, 2) handling non-Gaussian noise, and 3) marginalizing past states. To address these challenges, we focus on polynomial systems and propose the Max Entropy Moment Kalman Filter (MEM-KF). To address 1), we represent arbitrary beliefs by a Moment-Constrained Max-Entropy Distribution (MED). The MED can asymptotically approximate almost any distribution…

This https://arxiv.org/abs/2503.09128 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FlexiReg: Flexible Urban Region Representation Learning
The increasing availability of urban data offers new opportunities for learning region representations, which can be used as input to machine learning models for downstream tasks such as check-in or crime prediction. While existing solutions have produced promising results, an issue is their fixed formation of regions and fixed input region features, which may not suit the needs of different downstream tasks. To address this limitation, we propose a model named FlexiReg for urban region represe…

This https://arxiv.org/abs/2503.20117 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
This work tackles the fundamental challenges in Federated Learning (FL) posed by arbitrary client participation and data heterogeneity, prevalent characteristics in practical FL settings. It is well-established that popular FedAvg-style algorithms struggle with exact convergence and can suffer from slow convergence rates since a decaying learning rate is required to mitigate these scenarios. To address these issues, we introduce the concept of stochastic matrix and the corresponding time-varyin…

This https://arxiv.org/abs/2505.23585 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

On-Policy RL with Optimal Reward Baseline
Reinforcement learning algorithms are fundamental to align large language models with human preferences and to enhance their reasoning capabilities. However, current reinforcement learning algorithms often suffer from training instability due to loose on-policy constraints and computational inefficiency due to auxiliary models. In this work, we propose On-Policy RL with Optimal reward baseline (OPO), a novel and simplified reinforcement learning algorithm designed to address these challenges. O…