Academic

Academic · 1 min

PD-SOVNet: A Physics-Driven Second-Order Vibration Operator Network for Estimating Wheel Polygonal Roughness from Axle-Box Vibrations

arXiv:2604.06620v1 Announce Type: new Abstract: Quantitative estimation of wheel polygonal roughness from axle-box vibration signals is a challenging yet practically relevant problem for rail-vehicle condition …

Xiancheng Wang, Lin Wang, Rui Wang, Zhibo Zhang, Minghang Zhao, Xiaoheng Zhang, Zhongyue Tan, Kaitai Mao

18 views Apr 9

Academic · 1 min

TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning

arXiv:2604.06610v1 Announce Type: new Abstract: Decentralised online learning enables runtime adaptation in cyber-physical multi-agent systems, but when operating conditions change, learned policies often require substantial …

Nan Zhang, Zishuo Wang, Shuyu Huang, Georgios Diamantopoulos, Nikos Tziritas, Panagiotis Oikonomou, Georgios Theodoropoulos

25 views Apr 9

Academic · 1 min

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction

arXiv:2604.06558v1 Announce Type: new Abstract: We present the first systematic study of when target context helps molecular property prediction, evaluating context conditioning across 10 diverse …

Bryan Cheng, Jasper Zhang

27 views Apr 9

Academic · 1 min

Time-Series Classification with Multivariate Statistical Dependence Features

arXiv:2604.06537v1 Announce Type: new Abstract: In this paper, we propose a novel framework for non-stationary time-series analysis that replaces conventional correlation-based statistics with direct estimation …

Yao Sun, Bo Hu, Jose Principe

18 views Apr 9

Academic · 1 min

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

arXiv:2604.06515v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) allows scaling of language and vision models efficiently by activating only a small subset of experts per …

Mohammed Nowaz Rabbani Chowdhury, Kaoutar El Maghraoui, Hsinyu Tsai, Naigang Wang, Geoffrey W. Burr, Liu Liu, Meng Wang

23 views Apr 9

Academic · 1 min

VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts

arXiv:2604.06502v1 Announce Type: new Abstract: Vision-Language Models (VLMs) face significant safety vulnerabilities from malicious prompt attacks due to weakened alignment during visual integration. Existing defenses …

Peigui Qi, Kunsheng Tang, Yanpu Yu, Jialin Wu, Yide Song, Wenbo Zhou, Zhicong Huang, Cheng Hong, Weiming Zhang, Nenghai Yu

24 views Apr 9

Academic · 1 min

Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning

arXiv:2604.06501v1 Announce Type: new Abstract: Analogical reasoning is a hallmark of human intelligence, enabling us to solve new problems by transferring knowledge from one situation …

Philipp Hellwig, Willem Zuidema, Claire E. Stevenson, Martha Lewis

26 views Apr 9

Academic · 1 min

Improving Robustness In Sparse Autoencoders via Masked Regularization

arXiv:2604.06495v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are widely used in mechanistic interpretability to project LLM activations onto sparse latent spaces. However, sparsity alone …

Vivek Narayanaswamy, Kowshik Thopalli, Bhavya Kailkhura, Wesam Sakla

17 views Apr 9

Academic · 1 min

Optimal Rates for Pure {\varepsilon}-Differentially Private Stochastic Convex Optimization with Heavy Tails

arXiv:2604.06492v1 Announce Type: new Abstract: We study stochastic convex optimization (SCO) with heavy-tailed gradients under pure epsilon-differential privacy (DP). Instead of assuming a bound on …

Andrew Lowy

24 views Apr 9

Academic · 1 min

Discrete Flow Matching Policy Optimization

arXiv:2604.06491v1 Announce Type: new Abstract: We introduce Discrete flow Matching policy Optimization (DoMinO), a unified framework for Reinforcement Learning (RL) fine-tuning Discrete Flow Matching (DFM) …

Maojiang Su, Po-Chung Hsieh, Weimin Wu, Mingcheng Lu, Jiunhau Chen, Jerry Yao-Chieh Hu, Han Liu

20 views Apr 9

Academic · 1 min

Inference-Time Code Selection via Symbolic Equivalence Partitioning

arXiv:2604.06485v1 Announce Type: new Abstract: "Best-of-N" selection is a popular inference-time scaling method for code generation using Large Language Models (LLMs). However, to reliably identify …

David Cho, Yifan Wang, Fanping Sui, Ananth Grama

15 views Apr 9

Academic · 1 min

Distributed Interpretability and Control for Large Language Models

arXiv:2604.06483v1 Announce Type: new Abstract: Large language models that require multiple GPU cards to host are usually the most capable models. It is necessary to …

Dev Arpan Desai, Shaoyi Huang, Zining Zhu

10 views Apr 9

PD-SOVNet: A Physics-Driven Second-Order Vibration Operator Network for Estimating Wheel Polygonal Roughness from Axle-Box Vibrations

TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction

Time-Series Classification with Multivariate Statistical Dependence Features

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts

Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning

Improving Robustness In Sparse Autoencoders via Masked Regularization

Optimal Rates for Pure {\varepsilon}-Differentially Private Stochastic Convex Optimization with Heavy Tails

Discrete Flow Matching Policy Optimization

Inference-Time Code Selection via Symbolic Equivalence Partitioning

Distributed Interpretability and Control for Large Language Models

JCG, PC

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