Isolater - Feed

Ax Pengyun Wang, Junyu Luo, Yanxin Shen, Ming Zhang, Shaoen Qin, Hanwen Xing, Siyu Heng, Xiao Luo 4/3/2026

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability

Comprehensive benchmark of 17 graph pooling methods across 28 datasets evaluating effectiveness, robustness and generalization.

Ax Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan, Hrant Khachatrian 4/3/2026

In-context Learning in Presence of Spurious Correlations

Study of in-context learning in LLMs with spurious correlations, examining transformer robustness to spurious features in classification.

Ax Qianying Cao, Shanqing Liu, Alan John Varghese, Jerome Darbon, Michael Triantafyllou, George Em Karniadakis 4/3/2026

Automatic selection of the best neural architecture for time series forecasting

Automated neural architecture selection for time series forecasting comparing LSTMs, GRUs, Transformers, and State-Space Models.

Ax Chen Yang, Zheng Cui, Daniel Zhuoyu Long, Jin Qi, Ruohan Zhan 4/3/2026

Fragility-aware Classification for Understanding Risk and Improving Generalization

ML research on classification metrics accounting for confidence in incorrect predictions for safety-critical applications.

Ax Laurens R. Lueg, Victor Alves, Daniel Schicksnus, John R. Kitchin, Carl D. Laird, Lorenz T. Biegler 4/3/2026

A Simultaneous Approach for Training Neural Differential-Algebraic Systems of Equations

Scientific ML research on training neural differential-algebraic equation systems extending neural ODE methods.

Ax Jinbo Wang, Mingze Wang, Jiaqi Zhang, Wei Wang, Peng Pei, Xunliang Cai, Weinan E, Lei Wu 4/3/2026

GradPower: Powering Gradients for Faster Language Model Pre-Training

GradPower: lightweight gradient transformation technique for accelerating LLM pre-training via sign-power transformation, requiring minimal code changes.

Ax S. R. Eshwar, Gugan Thoppe, Ananyabrata Barua, Aditya Gopalan, Gal Dalal 4/3/2026

Monotone and Conservative Policy Iteration Beyond the Tabular Case

ML research introducing Reliable Policy Iteration variants that maintain theoretical guarantees under function approximation in reinforcement learning.

Ax Ziyang Zhang, Feifan Zhang, Weidong Tang, Lei Shi, Tailai Chen 4/3/2026

A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks

GAN-based residual guided training strategy for Physics-Informed Transformers solving nonlinear PDEs.

Ax Liyi Zhang, Jake Snell, Thomas L. Griffiths 4/3/2026

Meta-Learning at Scale for Large Language Models via Low-Rank Amortized Bayesian Meta-Learning

Low-rank amortized Bayesian meta-learning for LLMs enabling few-shot learning across multiple datasets efficiently.

Ax Sima Najafzadehkhoei, George Vega Yon, Derek S. Meyer, Bernardo Modenesi 4/3/2026

Generalized Machine Learning for Fast Calibration of Agent-Based Epidemic Models

DeepIMC: machine learning framework for fast calibration of agent-based epidemic models via bidirectional LSTM.

Ax Evgeny Alves Limarenko, Anastasiia Studenikina, Svetlana Illarionova, Maxim Sharaev 4/3/2026

GCond: Gradient Conflict Resolution via Accumulation-based Stabilization for Large-Scale Multi-Task Learning

GCond: scalable gradient conflict resolution for large-scale multi-task learning using accumulation-based stabilization.

Ax Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu 4/3/2026

StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold

StelLA: geometry-aware extension of LoRA using three-factor decomposition on Stiefel Manifold for efficient model fine-tuning.

Ax Waleed Bin Qaim, Aleksandr Ometov, Claudia Campolo, Antonella Molinaro, Elena Simona Lohan, Jari Nurmi 4/3/2026

Reinforcement Learning-based Task Offloading in the Internet of Wearable Things

Reinforcement learning approach for task offloading on Internet of Wearable Things to overcome battery and computation constraints.

Ax Avrim Blum, Daniel Hsu, Cyrus Rashtchian, Donya Saless 4/3/2026

Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods

Theoretical framework connecting sublinear graph algorithms to test-time LLM methods like RAG and tool use via prior knowledge.

Ax Yuen Chen, Yulun Wu, Samuel Sharpe, Igor Melnyk, Nam H. Nguyen, Furong Huang, C. Bayan Bruss, Rizal Fathony 4/3/2026

Bridging the Divide: End-to-End Sequence-Graph Learning

Research on jointly learning sequential and relational data for prediction tasks involving entities, integrating sequence and graph modeling.

Ax Weimin Huang, Ryan Piansky, Bistra Dilkina, Daniel K. Molzahn 4/3/2026

Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk

ML approach to optimize power line de-energization decisions for wildfire risk mitigation by solving mixed-integer linear programs faster for operational power systems.

Ax Paul Strang, Zacharie Al\`es, C\^ome Bissuel, Olivier Juan, Safia Kedad-Sidhoum, Emmanuel Rachelson 4/3/2026

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization

Research applying model-based reinforcement learning to improve variable selection heuristics in branch-and-bound solvers for mixed-integer linear programming and combinatorial optimization problems.

Ax YongKyung Oh, Dong-Young Lim, Sungil Kim 4/3/2026

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification

Invertible flow-based method for learning data-driven manifolds in irregularly-sampled time series classification.

Ax Zhijie Zhong, Zhiwen Yu, Kaixiang Yang, Yongheng Liu, Jun Jiang, C. L. Philip Chen 4/3/2026

Labels Matter More Than Models: Rethinking the Unsupervised Paradigm in Time Series Anomaly Detection

Study on impact of label quality versus model complexity in time series anomaly detection with limited labels.

Ax Tai Nguyen, Phong Le, Andr\'e Biedenkapp, Carola Doerr, Nguyen Dang 4/3/2026

Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+($\lambda$,$\lambda$))-GA

Deep RL study for dynamic algorithm configuration using DDQN and PPO on evolutionary algorithm parameter control.

Ax Yifan Zhang, Zixiang Chen, Yifeng Liu, Zhen Qin, Huizhuo Yuan, Kangping Xu, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao 4/3/2026

Group Representational Position Encoding

Unified positional encoding framework using group actions for transformers, unifying rotational and additive approaches.

Ax Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang 4/3/2026

Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality

Causal framework for interpretable and controllable generative models with theoretical guarantees.

Ax Felix Stollenwerk, Anna Lokrantz, Niclas Hertzberg 4/3/2026

Output Embedding Centering for Stable LLM Pretraining

Technique addressing output logit divergence instability during LLM pretraining via embedding centering.

Ax Yiyuan Li, Zhen Huang, Yanan Wu, Weixun Wang, Xuefeng Li, Yijia Luo, Wenbo Su, Bo Zheng, Pengfei Liu 4/3/2026

One Sample to Rule Them All: Extreme Data Efficiency in Multidiscipline Reasoning with Reinforcement Learning

One-shot reinforcement learning approach for improving LLM reasoning across multiple domains with minimal data.

Ax Tianrun Yu, Kaixiang Zhao, Cheng Zhang, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang 4/3/2026

When the Server Steps In: Calibrated Updates for Fair Federated Learning

Fairness-aware federated learning method with calibrated server updates across demographic groups.

Ax Qingyue Zhang, Chang Chu, Haohao Fu, Tianren Peng, Yanru Wu, Guanbo Huang, Yang Li, Shao-Lun Huang 4/3/2026

Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework

Theoretical framework jointly optimizing source weights and transfer quantities in multi-source transfer learning.

Ax Shijun Zhang, Zuowei Shen, Yuesheng Xu 4/3/2026

Multigrade Neural Network Approximation

Multigrade deep learning framework for structured error refinement in neural network training.

Ax Alejandro Luque-Cerpa, Mengyuan Wang, Emil Carlsson, Sanjit A. Seshia, Devdatt Dubhashi, Hazem Torfah 4/3/2026

Learning Contextual Runtime Monitors for Safe AI-Based Autonomy

Context-aware runtime monitors for safe AI-based autonomous systems using ensemble ML controllers.

Ax Anderson de Andrade, Alon Harell, Ivan V. Baji\'c 4/3/2026

Rate-Distortion Optimization for Transformer Inference

Rate-distortion framework for lossy compression of transformer intermediate representations to reduce inference compute and memory.

Ax Zeyuan He, Yupeng Chen, Lang Lin, Yihan Wang, Shenxu Chang, Eric Sommerlade, Philip Torr, Junchi Yu, Adel Bibi, Jialin Yu 4/3/2026

Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode

Analysis of safety properties in diffusion-based LLMs versus autoregressive LLMs, showing robustness against jailbreak attacks.

Ax Jayadev Billa 4/3/2026

The Geometric Anatomy of Capability Acquisition in Transformers

Study of capability acquisition in transformers tracking geometric changes and linear probes across model scales and algorithmic task difficulty levels.

Ax Aran Nayebi 4/3/2026

What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty

Quantitative selection theorems proving that strong task performance under uncertainty necessitates world models and belief-like memory structures in agents.

Ax Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt 4/3/2026

Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion

Machine unlearning approach using key deletion in model architecture for privacy-compliant data removal without requiring full training data access.

Ax Ming Shi, Yingbin Liang, Ness B. Shroff, Ananthram Swami 4/3/2026

Regret Bounds for Reinforcement Learning from Multi-Source Imperfect Preferences

Theoretical framework for RLHF with multi-source imperfect preferences, deriving regret bounds when feedback comes from multiple annotators with systematic mismatches.

Ax Yicheng Zou, Dongsheng Zhu, Lin Zhu, Tong Zhu, Yunhua Zhou, Peiheng Zhou, Xinyu Zhou, Dongzhan Zhou, Zhiwang Zhou, Yuhao Zhou, Bowen Zhou, Zhanping Zhong, Zhijie Zhong, Haiteng Zhao, Penghao Zhao, Xiaomeng Zhao, Zhiyuan Zhao, Yechen Zhang, Jin Zhang, Wenwei Zhang, Hongjie Zhang, Zhuo Zhang, Wenlong Zhang, Bo Zhang, Chao Zhang, Chen Zhang, Yuhang Zang, Fei Yuan, Jiakang Yuan, Jiashuo Yu, Jinhui Yin, Haochen Ye, Qian Yao, Bowen Yang, Danni Yang, Kaichen Yang, Ziang Yan, Jun Xu, Yicheng Xu, Wanghan Xu, Xuenan Xu, Chao Xu, Ruiliang Xu, Shuhao Xing, Long Xing, Xinchen Xie, Ling-I Wu, Zijian Wu, Zhenyu Wu, Lijun Wu, Yue Wu, Jianyu Wu, Wen Wu, Fan Wu, Xilin Wei, Qi Wei, Bingli Wang, Rui Wang, Ziyi Wang, Zun Wang, Yi Wang, Haomin Wang, Yizhou Wang, Lintao Wang, Yiheng Wang, Longjiang Wang, Bin Wang, Jian Tong, Zhongbo Tian, Huanze Tang, Chen Tang, Shixiang Tang, Yu Sun, Qiushi Sun, Xuerui Su, Qisheng Su, Chenlin Su, Demin Song, Jin Shi, Fukai Shang, Yuchen Ren, Pengli Ren, Xiaoye Qu, Yuan Qu, Jiantao Qiu, Yu Qiao, Biqing Qi, Runyu Peng, Tianshuo Peng, Jiahui Peng, Qizhi Pei, Zhuoshi Pan, Linke Ouyang, Wenchang Ning, Yichuan Ma, Zerun Ma, Ningsheng Ma, Runyuan Ma, Chengqi Lyu, Haijun Lv, Han Lv, Lindong Lu, Kuikun Liu, Jiangning Liu, Yuhong Liu, Kai Liu, Hongwei Liu, Zhoumianze Liu, Mengjie Liu, Ziyu Liu, Wenran Liu, Yang Liu, Liwei Liu, Kaiwen Liu, Junyao Lin, Junming Lin, Tianyang Lin, Dahua Lin, Jianze Liang, Linyang Li, Peiji Li, Zonglin Li, Zehao Li, Pengze Li, Guoyan Li, Lingkai Kong, Linglin Jing, Zhenjiang Jin, Feifei Jiang, Qian Jiang, Junhao Huang, Zixian Huang, Haian Huang, Zhouqi Hua, Ermo Hua, Han Hu, Linfeng Hou, Yinan He, Conghui He, Tianyao He, Xu Guo, Qipeng Guo, Aijia Guo, Yuzhe Gu, Lixin Gu, Jingyang Gong, Qiming Ge, Jiaye Ge, Songyang Gao, Jianfei Gao, Xinyu Fang, Caihua fan, Yue Fan, Yanhui Duan, Zichen Ding, Shengyuan Ding, Ning Ding, Xuanlang Dai, Erfei Cui, Ganqu Cui, Pei Chu, Tao Chu, Guangran Cheng, Yu Cheng, Kai Chen, Yongkang Chen, Chiyu Chen, Guanzhou Chen, Qiaosheng Chen, Sitao Chen, Xin Chen, Haojiong Chen, Yicheng Chen, Weihan Cao, Yuhang Cao, Qinglong Cao, Lei Bai 4/3/2026