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Academic · 1 min

Global River Forecasting with a Topology-Informed AI Foundation Model

arXiv:2602.22293v1 Announce Type: new Abstract: River systems operate as inherently interconnected continuous networks, meaning river hydrodynamic simulation ought to be a systemic process. However, widespread …

Hancheng Ren, Gang Zhao, Shuo Wang, Louise Slater, Dai Yamazaki, Shu Liu, Jingfang Fan, Shibo Cui, Ziming Yu, Shengyu Kang, Depeng Zuo, Dingzhi Peng, Zongxue Xu, Bo Pang

6 views Feb 28

Academic · 1 min

When Should a Model Change Its Mind? An Energy-Based Theory and Regularizer for Concept Drift …

arXiv:2602.22294v1 Announce Type: new Abstract: Models operating on dynamic physiologic signals must distinguish benign, label-preserving variability from true concept change. Existing concept-drift frameworks are largely …

Timothy Oladunni, Blessing Ojeme, Kyndal Maclin, Clyde Baidoo

6 views Feb 28

Academic · 1 min

UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs

arXiv:2602.22296v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning abilities of large language models (LLMs) on mathematics and programming …

Devan Shah, Owen Yang, Daniel Yang, Chongyi Zheng, Benjamin Eysenbach

8 views Feb 28

Academic · 1 min

Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection

arXiv:2602.22297v1 Announce Type: new Abstract: Reinforcement learning (RL) offers significant promise for machinery fault detection (MFD). However, most existing RL-based MFD approaches do not fully …

Dhiraj Neupane, Richard Dazeley, Mohamed Reda Bouadjenek, Sunil Aryal

6 views Feb 28

Academic · 1 min

AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts

arXiv:2602.22298v1 Announce Type: new Abstract: Current AI weather forecasting models predict conventional atmospheric variables but cannot distinguish between cloud microphysical species critical for aviation safety. …

Zijian Zhu, Qiusheng Huang, Anboyu Guo, Xiaohui Zhong, Hao Li

5 views Feb 28

Academic · 1 min

Training Agents to Self-Report Misbehavior

arXiv:2602.22303v1 Announce Type: new Abstract: Frontier AI agents may pursue hidden goals while concealing their pursuit from oversight. Alignment training aims to prevent such behavior …

Bruce W. Lee, Chen Yueh-Han, Tomek Korbak

5 views Feb 28

Academic · 1 min

A 1/R Law for Kurtosis Contrast in Balanced Mixtures

arXiv:2602.22334v1 Announce Type: new Abstract: Kurtosis-based Independent Component Analysis (ICA) weakens in wide, balanced mixtures. We prove a sharp redundancy law: for a standardized projection …

Yuda Bi, Wenjun Xiao, Linhao Bai, Vince D Calhoun

5 views Feb 28

Academic · 1 min

Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory

arXiv:2602.22345v1 Announce Type: new Abstract: This thesis addresses two persistent and closely related challenges in modern deep learning, reliability and efficiency, through a unified framework …

Davide Ettori

8 views Feb 28

Academic · 1 min

Learning geometry-dependent lead-field operators for forward ECG modeling

arXiv:2602.22367v1 Announce Type: new Abstract: Modern forward electrocardiogram (ECG) computational models rely on an accurate representation of the torso domain. The lead-field method enables fast …

Arsenii Dokuchaev, Francesca Bonizzoni, Stefano Pagani, Francesco Regazzoni, Simone Pezzuto

5 views Feb 28

Academic · 1 min

Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization

arXiv:2602.22387v1 Announce Type: new Abstract: Biological signals of interest in high-dimensional data are often masked by dominant variation shared across conditions. This variation, arising from …

Yixuan Li, Archer Y. Yang, Yue Li

4 views Feb 28

Academic · 1 min

Predicting Multi-Drug Resistance in Bacterial Isolates Through Performance Comparison and LIME-based Interpretation of Classification Models

arXiv:2602.22400v1 Announce Type: new Abstract: The rise of Antimicrobial Resistance, particularly Multi-Drug Resistance (MDR), presents a critical challenge for clinical decision-making due to limited treatment …

Santanam Wishal, Riad Sahara

3 views Feb 28

Academic · 1 min

MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion

arXiv:2602.22405v1 Announce Type: new Abstract: Most machine learning models for molecular property prediction rely on a single molecular representation (either a sequence, a graph, or …

Syed Omer Shah, Mohammed Maqsood Ahmed, Danish Mohiuddin Mohammed, Shahnawaz Alam, Mohd Vahaj ur Rahman

5 views Feb 28

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Articles

Global River Forecasting with a Topology-Informed AI Foundation Model

When Should a Model Change Its Mind? An Energy-Based Theory and Regularizer for Concept Drift …

UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs

Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection

AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts

Training Agents to Self-Report Misbehavior

A 1/R Law for Kurtosis Contrast in Balanced Mixtures

Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory

Learning geometry-dependent lead-field operators for forward ECG modeling

Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization

Predicting Multi-Drug Resistance in Bacterial Isolates Through Performance Comparison and LIME-based Interpretation of Classification Models

MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion

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