Isolater - Feed

Ax Xiang Li, Yuheng Zhang, Nan Jiang 3/26/2026

Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parametric Policies

Offline reinforcement learning with parametric policies under general function approximation beyond state-wise mirror descent.

Ax Eman M. AbouNassar, Amr Elshall, Sameh Abdulah 3/26/2026

FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data

Federated learning algorithm addressing statistical heterogeneity and non-IID data with proximal-balanced scaling for privacy-preserving training.

Ax Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto 3/26/2026

Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning

Sample-efficient hypergradient estimation for decentralized bi-level reinforcement learning in strategic decision-making and environment design.

Ax Gregor Kornhardt, Jannis Chemseddine, Christian Wald, Gabriele Steidl 3/26/2026

Self-Aware Markov Models for Discrete Reasoning

Masked discrete diffusion model with self-aware Markov transition kernels enabling adaptive reasoning and error correction in discrete tasks.

Ax Lucas Maes, Quentin Le Lidec, Damien Scieur, Yann LeCun, Randall Balestriero 3/26/2026

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Stable end-to-end joint embedding predictive architecture learning world models from raw pixels without representation collapse.

Ax Celal Alag\"oz, Mehmet Kurnaz, Farhan Aadil 3/26/2026

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification

Multi-scale convolutional architectures for time series classification using diverse input representations and multi-representation learning.

Ax Giacomo Borghi, Hyesung Im, Lorenzo Pareschi 3/26/2026

Two-Time-Scale Learning Dynamics: A Population View of Neural Network Training

Theoretical framework for population-based neural network training combining fast within-model optimization with slower population-level adaptation.

Ax Woosung Koh, Jeyoung Jeon, Youngjin Song, Yujin Cheon, Soowon Oh, Jaehyeong Choi, Se-Young Yun 3/26/2026

mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT

Multi-task supervised fine-tuning algorithm addressing heterogeneous overfitting across dataset mixtures with overfitting-aware data allocation.

Ax Yuze Qin, Qingyong Li, Zhiqing Guo, Wen Wang, Yan Liu, Yangli-ao Geng 3/26/2026

Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors

Precipitation nowcasting model combining radar observations with weather foundation model priors to improve long-lead forecasting accuracy.

Ax Eric Czech, Zhiwei Xu, Yael Elmatad, Yixin Wang, William Held 3/26/2026

Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits

Analysis of systematic biases in Chinchilla scaling law fitting method applied to LLM training, showing parameter allocation errors in compute-optimal estimates.

Ax Nan Qiao, Shuning Wang, Sijing Duan, Wenpeng Cui, Yuzhe Chen, Qingchen Yang, Xingyuan Hua, Ju Ren 3/26/2026

Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting

Cloud-edge collaborative system for photovoltaic power forecasting using large models with latency constraints and robustness to weather distribution shifts.

Ax Donya Jafari, Farzan Farnia 3/26/2026

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

Method for routing prompts to optimal LLMs/generative models using diversity-aware adaptive selection beyond fidelity scores.

Ax Huaming Du, Cancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Gang Kou, Carl Yang, Yu Zhao 3/26/2026

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective

Survey on enterprise financial risk prediction using big data and LLMs, covering AI/computer science approaches to finance and management risk analysis.

Ax Arthur Jacot, Alexandre Kaiser 3/26/2026

Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets

Theoretical study of feature learning in Leaky ResNets via Hamiltonian mechanics. Analyzes representation geodesics and bottleneck structures in infinite-depth limits.

Ax Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring 3/26/2026

Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning

Set2Seq Transformer for temporal multiple-instance learning with permutation-invariant set representations. Models internal structure and temporal relationships across timesteps.

Ax Parsa Moradi, Mohammad Ali Maddah-Ali 3/26/2026

General Coded Computing in a Probabilistic Straggler Regime

Coded computing schemes for distributed systems with probabilistic stragglers. Extends exact computation frameworks to handle approximate recovery scenarios.

Ax Nina Corvelo Benz, Stratis Tsirtsis, Eleni Straitouri, Ivi Chatzi, Ander Artola Velasco, Suhas Thejaswi, Manuel Gomez-Rodriguez 3/26/2026

Evaluation of Large Language Models via Coupled Token Generation

Causal framework for evaluating LLMs controlling for randomization in token generation. Proposes coupled generation model for fair model comparison and ranking.

Ax Judy Hanwen Shen, Ellen Vitercik, Anders Wikum 3/26/2026

Algorithms with Calibrated Machine Learning Predictions

Framework integrating ML prediction uncertainty into online algorithm design. Uses calibration to leverage prediction-level confidence in algorithms with predictions.

Ax Andreas Panayiotou, Panayiotis Charalambous, Ioannis Karamouzas 3/26/2026

Gen-C: Populating Virtual Worlds with Generative Crowds

Gen-C: Generative framework for simulating high-level crowd behaviors in virtual environments. Captures agent-agent and agent-environment interactions over time.

Ax Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya 3/26/2026

Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej

VidhikDastaavej: Model-agnostic wrapper for automated legal document generation in Indian context. Introduces large-scale anonymized dataset for long-form legal drafting.

Ax Rodrigo P\'erez Ortiz, Gibbs Nwemadji, Jean Barbier, Federica Gerace, Alessandro Ingrosso, Clarissa Lauditi, Enrico M. Malatesta 3/26/2026

Generalization performance of narrow one-hidden layer networks in the teacher-student setting

Theoretical analysis of generalization in one-hidden-layer neural networks using teacher-student framework. Provides complete characterization for generic activation functions.

Ax Zhihao Luo, Wentao Yan, Jingyu Gong, Min Wang, Zhizhong Zhang, Xuhong Wang, Yuan Xie, Xin Tan 3/26/2026

NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Unified agent framework (NaviMaster) handling both GUI navigation and embodied navigation tasks via MDP formulation. First model to combine disparate domains with shared training paradigm.

Ax Yuan Wang, Mingyu Li, Haibo Chen 3/26/2026

From Imperative to Declarative: Towards LLM-friendly OS Interfaces for Boosted Computer-Use Agents

Declarative OS interfaces for computer-use agents to replace GUIs, enabling LLMs to execute high-level goals with fewer API calls and less decomposition.

Ax Yijie Xu, Huizai Yao, Zhiyu Guo, Pengteng Li, Aiwei Liu, Xuming Hu, Weiyu Guo, Hui Xiong 3/26/2026

You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs

SyTTA: Label-free test-time adaptation for LLMs in specialized domains using only 4 extra tokens to mitigate distribution shifts.

Ax Minjae Lee, Minsuk Kahng 3/26/2026

Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior

Method for co-evolving test sets and prompts to refine LLM behavior, enabling iterative refinement of domain-specific policies without manual tuning.

Ax Arthur Jacot 3/26/2026

Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets

Theoretical analysis of deep neural networks as convex computation paradigm, examining how DNNs implement Occam's razor through circuit size minimization.

Ax Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lv, Hao Liu, Jusheng Zhang, Weizheng Li, Ziliang Chen, Tianshui Chen, Ruifeng Zhai, Keze Wang, Liang Lin, Guangrun Wang 3/26/2026

E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion

Vision-Language-Action models for robotic manipulation using Tweedie discrete diffusion to improve generalization and action control.

Ax Jialuo Li, Bin Li, Jiahao Li, Yan Lu 3/26/2026

Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding

Frame selection method for long-form video understanding with Large Multimodal Models, reducing computational cost of processing dense video tokens.

Ax Raunak Jain 3/26/2026

Collaborative Causal Sensemaking: Closing the Complementarity Gap in Human-AI Decision Support

Collaborative causal sensemaking framework for LLM-based decision support agents enabling human-AI partnerships in expert settings.

Ax Qihao Liu, Luoxin Ye, Wufei Ma, Yu-Cheng Chou, Alan Yuille 3/26/2026

Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning

Generative Adversarial Reasoner: adversarial reinforcement learning framework improving LLM reasoning and reducing calculation errors.

Ax Natnael Mola, Leonardo S. B. Pereira, Carolina R. Kelsch, Luis H. Arribas, Juan C. S. M. Avedillo 3/26/2026

SPARE: Self-distillation for PARameter-Efficient Removal

SPARE uses self-distillation for efficient machine unlearning in diffusion models balancing forgetting and concept retention.

Ax Rui Cai, Jun Guo, Xinze He, Piaopiao Jin, Jie Li, Bingxuan Lin, Futeng Liu, Wei Liu, Fei Ma, Kun Ma, Feng Qiu, Heng Qu, Yifei Su, Qiao Sun, Dong Wang, Donghao Wang, Yunhong Wang, Rujie Wu, Diyun Xiang, Yu Yang, Hangjun Ye, Yuan Zhang, Quanyun Zhou 3/26/2026

Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution

Xiaomi-Robotics-0: open-source vision-language-action model for real-time robot control with efficient deployment strategy.

Ax Stefan Maria Ailuro (INSAIT, Sofia University "St. Kliment Ohridski"), Mario Markov (INSAIT, Sofia University "St. Kliment Ohridski"), Mohammad Mahdi (INSAIT, Sofia University "St. Kliment Ohridski"), Delyan Boychev (INSAIT, Sofia University "St. Kliment Ohridski"), Luc Van Gool (INSAIT, Sofia University "St. Kliment Ohridski"), Danda Pani Paudel (INSAIT, Sofia University "St. Kliment Ohridski") 3/26/2026

OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

OSMDA uses OpenStreetMap data for domain adaptation of vision-language models to remote sensing without expensive satellite image annotations.

Ax Seokmin Lee, Yunghee Lee, Byeonghyun Pak, Byeongju Woo 3/26/2026

Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition

Visual state representation learning for robotic agents capturing semantic and spatial information for sequential decision-making.

Ax Hyoseok Park, Yeonsang Park 3/26/2026

PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection

PRISM uses photonic accelerators with O(1) memory selection to optimize long-context LLM inference by reducing KV cache scanning bottleneck.

Ax Aymen Bouferroum (FUN), Valeria Loscri (FUN), Abderrahim Benslimane (LIA) 3/26/2026

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

ML-based security framework for Industrial IoT addressing resource-constrained device threats across multiple network layers.

Ax Cursor Research, :, Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang 3/26/2026