Academic

Academic · 1 min

Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite …

arXiv:2603.20418v1 Announce Type: new Abstract: Unidirectional tapes surface roughness determines the evolution of the degree of intimate contact required for ensuring the thermoplastic molecular diffusion …

Sebastian Rodriguez, Mikhael Tannous, Jad Mounayer, Camilo Cruz, Anais Barasinski, Francisco Chinesta

28 views Mar 24

Academic · 1 min

Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework

arXiv:2603.20442v1 Announce Type: new Abstract: We propose Melaguard, a multimodal ML framework (Transformer-lite, 1.2M parameters, 4-head self-attention) for detecting neurovascular instability (NVI) from wearable-compatible physiological …

Truong Quynh Hoa, Hoang Dinh Cuong, Truong Xuan Khanh

6 views Mar 24

Academic · 1 min

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

arXiv:2603.20452v1 Announce Type: new Abstract: Longitudinal neuroimaging is essential for modeling disease progression in Alzheimer's disease (AD), yet irregular sampling and missing visits pose substantial …

Ruiying Chen, Yutong Wang, Houliang Zhou, Wei Liang, Yong Chen, Lifang He

5 views Mar 24

Academic · 1 min

Reinforcement Learning from Multi-Source Imperfect Preferences: Best-of-Both-Regimes Regret

arXiv:2603.20453v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) replaces hard-to-specify rewards with pairwise trajectory preferences, yet regret-oriented theory often assumes that preference …

Ming Shi, Yingbin Liang, Ness B. Shroff, Ananthram Swami

5 views Mar 24

Academic · 1 min

From Data to Laws: Neural Discovery of Conservation Laws Without False Positives

arXiv:2603.20474v1 Announce Type: new Abstract: Conservation laws are fundamental to understanding dynamical systems, but discovering them from data remains challenging due to parameter variation, non-polynomial …

Rahul D Ray

17 views Mar 24

Academic · 1 min

Spatio-Temporal Grid Intelligence: A Hybrid Graph Neural Network and LSTM Framework for Robust Electricity Theft …

arXiv:2603.20488v1 Announce Type: new Abstract: Electricity theft, or non-technical loss (NTL), presents a persistent threat to global power systems, driving significant financial deficits and compromising …

Adewale U. Oguntola, Olowookere A. AbdulQoyum, Adebukola M. Madehin, Adekemi A. Adetoro

5 views Mar 24

Academic · 1 min

AE-LLM: Adaptive Efficiency Optimization for Large Language Models

arXiv:2603.20492v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable success across diverse applications, yet their deployment remains challenging due to substantial computational …

Kaito Tanaka, Masato Ito, Yuji Nishimura, Keisuke Matsuda, Aya Nakayama

7 views Mar 24

Academic · 1 min

Distributed Gradient Clustering: Convergence and the Effect of Initialization

arXiv:2603.20507v1 Announce Type: new Abstract: We study the effects of center initialization on the performance of a family of distributed gradient-based clustering algorithms introduced in …

Aleksandar Armacki, Himkant Sharma, Dragana Bajovi\'c, Du\v{s}an Jakoveti\'c, Mrityunjoy Chakraborty, Soummya Kar

11 views Mar 24

Academic · 1 min

Delightful Distributed Policy Gradient

arXiv:2603.20521v1 Announce Type: new Abstract: Distributed reinforcement learning trains on data from stale, buggy, or mismatched actors, producing actions with high surprisal (negative log-probability) under …

Ian Osband

24 views Mar 24

Academic · 1 min

Does This Gradient Spark Joy?

arXiv:2603.20526v1 Announce Type: new Abstract: Policy gradient computes a backward pass for every sample, even though the backward pass is expensive and most samples carry …

Ian Osband

15 views Mar 24

Academic · 1 min

RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization

arXiv:2603.20527v1 Announce Type: new Abstract: Preconditioned adaptive methods have gained significant attention for training deep neural networks, as they capture rich curvature information of the …

Shenyang Deng, Zhuoli Ouyang, Tianyu Pang, Zihang Liu, Ruochen Jin, Shuhua Yu, Yaoqing Yang

5 views Mar 24

Academic · 1 min

Towards Practical Multimodal Hospital Outbreak Detection

arXiv:2603.20536v1 Announce Type: new Abstract: Rapid identification of outbreaks in hospitals is essential for controlling pathogens with epidemic potential. Although whole genome sequencing (WGS) remains …

Chang Liu, Jieshi Chen, Alexander J. Sundermann, Kathleen Shutt, Marissa P. Griffith, Lora Lee Pless, Lee H. Harrison, Artur W. Dubrawski

6 views Mar 24

Data-driven discovery of roughness descriptors for surface characterization and intimate contact modeling of unidirectional composite …

Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

Reinforcement Learning from Multi-Source Imperfect Preferences: Best-of-Both-Regimes Regret

From Data to Laws: Neural Discovery of Conservation Laws Without False Positives

Spatio-Temporal Grid Intelligence: A Hybrid Graph Neural Network and LSTM Framework for Robust Electricity Theft …

AE-LLM: Adaptive Efficiency Optimization for Large Language Models

Distributed Gradient Clustering: Convergence and the Effect of Initialization

Delightful Distributed Policy Gradient

Does This Gradient Spark Joy?

RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization

Towards Practical Multimodal Hospital Outbreak Detection

JCG, PC

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