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Academic · 1 min

Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research

arXiv:2602.16072v1 Announce Type: new Abstract: Epilepsy affects over 50 million people worldwide, and one-third of patients suffer drug-resistant seizures where surgery offers the best chance …

Chenda Duan, Yipeng Zhang, Sotaro Kanai, Yuanyi Ding, Atsuro Daida, Pengyue Yu, Tiancheng Zheng, Naoto Kuroda, Shaun A. Hussain, Eishi Asano, Hiroki Nariai, Vwani Roychowdhury

24 views Feb 20

Academic · 1 min

Why Any-Order Autoregressive Models Need Two-Stream Attention: A Structural-Semantic Tradeoff

arXiv:2602.16092v1 Announce Type: new Abstract: Any-order autoregressive models (AO-ARMs) offer a promising path toward efficient masked diffusion by enabling native key-value caching, but competitive performance …

Patrick Pynadath, Ruqi Zhang

8 views Feb 20

Academic · 1 min

Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring

arXiv:2602.16101v1 Announce Type: new Abstract: Reliable and cost-effective maintenance is essential for railway safety, particularly at the wheel-rail interface, which is prone to wear and …

Afonso Louren\c{c}o, Francisca Os\'orio, Diogo Risca, Goreti Marreiros

26 views Feb 20

Academic · 1 min

Feature-based morphological analysis of shape graph data

arXiv:2602.16120v1 Announce Type: new Abstract: This paper introduces and demonstrates a computational pipeline for the statistical analysis of shape graph datasets, namely geometric networks embedded …

Murad Hossen, Demetrio Labate, Nicolas Charon

23 views Feb 20

Academic · 1 min

On the Power of Source Screening for Learning Shared Feature Extractors

arXiv:2602.16125v1 Announce Type: new Abstract: Learning with shared representation is widely recognized as an effective way to separate commonalities from heterogeneity across various heterogeneous sources. …

Leo (Muxing), Wang, Connor Mclaughlin, Lili Su

11 views Feb 20

Academic · 1 min

Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations

arXiv:2602.16145v1 Announce Type: new Abstract: There are a number of existing studies analysing the convergence behaviour of graph neural networks on large random graphs. Unfortunately, …

Mohammed Zain Ali Ahmed

18 views Feb 20

Academic · 1 min

ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding

arXiv:2602.16147v1 Announce Type: new Abstract: Cross-subject generalization in EEG-based brain-computer interfaces (BCIs) remains challenging due to individual variability in neural signals. We investigate whether spectral …

Megan Lee, Seung Ha Hwang, Inhyeok Choi, Shreyas Darade, Mengchun Zhang, Kateryna Shapovalenko

33 views Feb 20

Academic · 1 min

Differentially Private Non-convex Distributionally Robust Optimization

arXiv:2602.16155v1 Announce Type: new Abstract: Real-world deployments routinely face distribution shifts, group imbalances, and adversarial perturbations, under which the traditional Empirical Risk Minimization (ERM) framework …

Difei Xu, Meng Ding, Zebin Ma, Huanyi Xie, Youming Tao, Aicha Slaitane, Di Wang

10 views Feb 20

Academic · 1 min

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

arXiv:2602.16165v1 Announce Type: new Abstract: Training LLMs as interactive agents for multi-turn decision-making remains challenging, particularly in long-horizon tasks with sparse and delayed rewards, where …

Jiangweizhi Peng, Yuanxin Liu, Ruida Zhou, Charles Fleming, Zhaoran Wang, Alfredo Garcia, Mingyi Hong

11 views Feb 20

Academic · 1 min

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning

arXiv:2602.16167v1 Announce Type: new Abstract: Physics-informed neural networks and neural operators often suffer from severe optimization difficulties caused by ill-conditioned gradients, multi-scale spectral behavior, and …

Binghang Lu, Jiahao Zhang, Guang Lin

11 views Feb 20

Academic · 1 min

Discrete Stochastic Localization for Non-autoregressive Generation

arXiv:2602.16169v1 Announce Type: new Abstract: Non-autoregressive (NAR) generation reduces decoding latency by predicting many tokens in parallel, but iterative refinement often suffers from error accumulation …

Yunshu Wu, Jiayi Cheng, Partha Thakuria, Rob Brekelmans, Evangelos E. Papalexakis, Greg Ver Steeg

10 views Feb 20

Academic · 1 min

Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters

arXiv:2602.16181v1 Announce Type: new Abstract: Energy theft poses a significant threat to the stability and efficiency of smart grids, leading to substantial economic losses and …

Diego Labate, Dipanwita Thakur, Giancarlo Fortino

10 views Feb 20

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Articles

Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research

Why Any-Order Autoregressive Models Need Two-Stream Attention: A Structural-Semantic Tradeoff

Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring

Feature-based morphological analysis of shape graph data

On the Power of Source Screening for Learning Shared Feature Extractors

Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations

ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding

Differentially Private Non-convex Distributionally Robust Optimization

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

Muon with Spectral Guidance: Efficient Optimization for Scientific Machine Learning

Discrete Stochastic Localization for Non-autoregressive Generation

Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters

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