Isolater - Feed

Ax Daniel Corrales, David R\'ios Insua 19d ago

A probabilistic framework for online test-time adaptation

Probabilistic framework for adapting trained models to unlabeled test data under distribution shift.

Ax Praneeth Narisetty, Shiva Nagendra Babu Kore, Uday Kumar Reddy Kattamanchi, Jayaram Kumarapu 19d ago

Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents

Defense mechanisms for tool-using LLM agents against indirect prompt injection via out-of-band policies.

Ax Sigma Jahan 19d ago

Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs

Study of performance gaps in deep learning fault diagnosis techniques across seen vs. unseen programs.

Ax Erhan Bayraktar, Martin Hernandez, Qinxin Yan, Yuhua Zhu 19d ago

Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data

Mean-field reinforcement learning framework for continuous-time control with discrete-time training data.

Ax Neeraj Yadav 19d ago

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge

RAG system addressing temporal validity problem where stale facts cause AI agents to serve outdated information.

Ax Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, He Yan, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu 19d ago

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting

Transformer architecture with patch-mean decoupling for long-term time series forecasting across multiple domains.

Ax Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh, Alhatoon Alanazy, Salam Alshammasi, Meshael Almusairii, Shoog Alrassan, Aisha Alansari 19d ago

Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

Explainable ensemble ML models for cirrhosis detection in hepatitis C patients using medical data.

Ax Yuanzhe Wang, Alexandre M. Tartakovsky 19d ago

Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems

Latent-space diffusion model for solving PDE-constrained inverse problems with Bayesian posterior sampling.

Ax Langyi Chen, Chuanzhi Xu, Haoxian Zhou, Pengfei Ye, Ziyu Luo, Haodong Chen, Qiang Qu, Xiaoming Chen, Weidong Cai 19d ago

FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics

Event camera simulation framework using fractional-relaxation pixel dynamics for asynchronous vision tasks.

Ax Christian Scano, Diego Soi, Angelo Sotgiu, Luca Demetrio, Davide Maiorca, Giorgio Giacinto, Fabio Roli, Battista Biggio 19d ago

DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors

DroidBreaker: practical problem-space adversarial attacks on ML-based Android malware detectors with functional APK modifications.

Ax Andrei Velichko, Mehmet Tahir Huyut 19d ago

State-Specific Respiratory Signatures for Affective and Stress Recognition: Interpretable Respiratory Markers, Autocorrelation Lags, and Compact CNN Models

Develops interpretable CNN models for stress/affect recognition from respiratory signals with feature analysis and autocorrelation lags.

Ax Yuan-Hang Zhang, Chesson Sipling, Massimiliano Di Ventra 19d ago

Scientific discovery as meta-optimization: a combinatorial optimization case study

Formalizes scientific discovery as meta-optimization where LLMs simultaneously modify evaluation criteria and optimize within expanded theory spaces.

Ax Le Tu Ngoc Minh (KAIST), Jinyeong Lim (KAIST), Dongsu Han (KAIST) 19d ago

ProtoKV: Streaming Video Understanding under Delayed Query with Summary-State Memory

ProtoKV: constant-footprint memory system for streaming video understanding with asynchronous delayed queries using prototype-based summarization.

Ax Philipp Seeberger, Steffen Freisinger, Tobias Bocklet, Korbinian Riedhammer 19d ago

Evaluation Pitfalls and Challenges in Multimedia Event Extraction

Systematic analysis of evaluation pitfalls in multimedia event extraction across text and image modalities.

Ax Xuyue Huang, Zhe Chen, Wang Shen, Xiao-Ping Zhang 19d ago

LearniBridge: Learnable Calibration of Feature Caching for Diffusion Models Acceleration

Proposes learnable feature caching calibration for Diffusion Transformers to reduce error accumulation and accelerate inference.

Ax Inderjeet Singh, Andr\'es Murillo, Motoyoshi Sekiya, Yuki Unno, Junichi Suga 19d ago

MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG

Presents MIRROR, a memory-guided MCTS framework for systematic red-teaming of multimodal agentic RAG systems across multiple attack surfaces.

Ax Haoliang Han 19d ago

Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language Agents

Studies memory depth and parametric consolidation in long-running language agents, introducing loop-drift protocol to test durable behavior adaptation.

Ax Snehal Raj, Brian Coyle, L\'eo Monbroussou, Andr\'e J. Ferreira-Martins, Renato M. S. Farias, Elham Kashefi 19d ago

Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy

Develops scalable quantum graph neural networks using message-passing within Weisfeiler-Leman hierarchy for chemistry and biology data.

Ax Xiao Jia 19d ago

Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension

Analyzes frozen language model representations as neural predictors during naturalistic language comprehension using brain imaging data.

Ax Benedict Leimkuhler, Peter A. Whalley 19d ago

Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics

Introduces SamAdams adaptive timestepping and position-adaptive Langevin dynamics for accelerated sampling in stiff phase spaces.

Ax Kyriaki-Margarita Bintsi, Sparsh Makharia, Ya\"el Balbastre, Joselyn Romero Avila, Julia F. Lehman, Suzanne N. Haber, Anastasia Yendiki 19d ago

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Proposes synthetic data generation for fiber bundle segmentation in tracer histology using dMRI tractography validation.

Ax Prarabdh Shukla, Ritik, Suhas Rao, Arpit Agarwal, Arjun Bhagoji 19d ago

Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries

Examines automated jailbreak selection using bandit algorithms for non-expert malicious actors to craft effective LLM attacks.

Ax Jiahe Chen, Qian Shao, Qiyuan Chen, Jiaying He, Jintai Chen, Jian Wu, Hongxia Xu 19d ago

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning

Proposes geometric gradient rectification for semi-supervised learning with out-of-distribution outliers in unlabeled data.

Ax Minghao Chen, Jiale Zheng 19d ago

XMSE-Aware Adaptive Empirical Bayes Estimation

Develops XMSE-aware adaptive empirical Bayes estimator interpolating between ML and kernel-based EB to address second-order alignment issues.

Ax Antti S\"allinen, Siiri Rautio, Santeri Kaupinm\"aki, Andreas Hauptmann 19d ago

Enabling self-supervised learned primal dual with Noise2Inverse

Proposes self-supervised learned primal-dual method for X-ray CT reconstruction in low-dose settings without ground-truth data.

Ax Rongjian Chen, Jianmin Hu, Kejiang Ye, Minxian Xu 19d ago

RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning

Describes RolloutPipe, a system for overlapping pipelined rollout and training in disaggregated RL architectures for LLM post-training with verifiable rewards.

Ax Sahil Shrivastava 19d ago

Semantic Early-Stopping for Iterative LLM Agent Loops

Proposes semantic early-stopping for multi-agent LLM loops using embedding similarity to halt when output meaning stops improving, reducing token waste.

Ax Aleksandar Todorov, Jesse ten Napel, Alexander M\"uller 19d ago

Parametric Open Source Games

Introduces parametric open-source games, a continuous model where players choose parameters converted to actions, with equilibrium existence results.

Ax Hanli Xu, Fengxiang He, Sarat Moka 19d ago

Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference

Introduces Mass Index and regularized extended KL divergence for local-mass analysis in Bayesian inference beyond global divergence objectives.

Ax Vincent Chen, Starrick Liu, Regis Cheng, Dance Yang, Shalfun Li, Ryan Yu, Lucy Liang, Hang Su, Roy Gan, Hao Wang, Qian Wang 19d ago

DMuon: Efficient Distributed Muon Training with Near-Adam Overhead

Proposes DMuon, distributed training method for matrix-orthogonalization optimizers reducing communication overhead compared to element-wise optimization.

Ax Ilia Larchenko 19d ago

Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)

Describes prizewinning bimanual garment folding solution combining vision-language-action policy with reinforcement learning loop for robotic manipulation.

Ax Humzah Merchant, Bradford Levy 19d ago

Forecasting With LLMs: Improved Generalization Through Feature Steering

Uses sparse autoencoders to inspect LLM internal states for forecasting tasks, identifying time-specific knowledge versus generalizable patterns.

Ax Ziyuan Tang, Tianshi Xu, Yousef Saad, Yuanzhe Xi 19d ago

Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization

Introduces Hierarchical Muon (HiMuon), tiled Newton-Schulz optimization for efficient dense neural network training with reduced computational overhead.

Ax Sayak Dutta 19d ago

CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention

Proposes CARVE, memory-aware recurrent architecture with content-aware gating for efficient chunk-parallel linear attention in sequence models.

Ax Graham Gibson, John Tipton, Kellin Rumsey, Natalie Klein 19d ago

Ribbon: Scalable Approximation and Robust Uncertainty Quantification

Introduces Ribbon, scalable approximation to Dirichlet-reweighted bootstrap for efficient uncertainty quantification in high-dimensional models.

Ax Josef Chen 19d ago

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models

Analyzes fundamental ceiling on multi-model LLM systems (routing, voting, mixture-of-agents), showing accuracy limited by co-failure rate across 67 frontier models.

Ax Yu-Neng Wang, Sara Achour 19d ago