Isolater - Feed

Ax Qingsong Zou, Zhi Yan, Zhiyao Xu, Kuofeng Gao, Jingyu Xiao, Yong Jiang 3/10/2026

SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts

SmartBench: evaluation benchmark for LLMs in smart home environments with anomalous device detection.

Ax Sirui Li, Shuhan Xiao, Mihir Joshi, Ahmed Metwally, Daniel McDuff, Wei Wang, Yuzhe Yang 3/10/2026

HEARTS: Benchmarking LLM Reasoning on Health Time Series

HEARTS: benchmark for evaluating LLM reasoning on diverse health time series tasks and modalities.

Ax Swamynathan V P 3/10/2026

SR-TTT: Surprisal-Aware Residual Test-Time Training

SR-TTT: test-time training for LLMs with infinite context via fast weights, improving long-context reasoning.

Ax Paul Shepherd, Tasos Dagiuklas, Bugra Alkan, Joaquim Bastos, Jonathan Rodriguez 3/10/2026

Trust Aware Federated Learning for Secure Bone Healing Stage Interpretation in e-Health

Trust-aware federated learning framework for bone healing classification in distributed medical environments.

Ax Noujoud Nadera, Hadi Majed, Stefanos Giaremis, Rola El Osta, Clint Dawson, Carola Kaiser, Hartmut Kaiser 3/10/2026

HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks

GAN-based hurricane bias correction for storm surge and wind forecasting beyond gauge stations.

Ax Liwei Hu, Guangyao Li, Wenyong Wang, Xiaoming Zhang, Yu Xiang 3/10/2026

Geodesic Gradient Descent: A Generic and Learning-rate-free Optimizer on Objective Function-induced Manifolds

Geodesic gradient descent: learning-rate-free Riemannian optimization algorithm for complex manifolds.

Ax Sanjay Mishra 3/10/2026

ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk

Ensemble learning framework for financial risk detection in ERP systems with leakage-safe evaluation.

Ax Minsi Ren, Wenhao Deng, Ruiqi Feng, Tailin Wu 3/10/2026

One step further with Monte-Carlo sampler to guide diffusion better

Monte-Carlo sampling method for improving guidance in SDE-based diffusion generative models.

Ax Karan Gupta, Pranav Vajreshwari, Yash Pandya, Raghav Magazine, Akshay Nambi, Ahmed Awadallah 3/10/2026

Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces

ATLAS: reinforcement finetuning framework for scaling agent capabilities with large toolspaces using small language models.

Ax Guanglin Zhou, Armin Catic, Motahare Shabestari, Matthew Young, Chaiquan Li, Katrina Poppe, Sebastiano Barbieri 3/10/2026

From Statistical Fidelity to Clinical Consistency: Scalable Generation and Auditing of Synthetic Patient Trajectories

Synthetic EHR generation pipeline with clinical consistency validation for privacy-preserving health data sharing.

Ax Aditya Ranganath, Hasin Us Sami, Kowshik Thopalli, Bhavya Kailkhura, Wesam Sakla 3/10/2026

ProtAlign: Contrastive learning paradigm for Sequence and structure alignment

ProtAlign: contrastive learning framework for protein sequence-structure alignment using language models.

Ax Yunzhong Qiu, Binzhu Li, Hao Wei, Shenglin Weng, Chen Wang, Zhongyi Pei, Mingsheng Long, Jianmin Wang 3/10/2026

Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting

Hybrid approach combining time series foundation models with regression models for electricity price forecasting capturing temporal and cross-variate patterns.

Ax Jingyuan Feng, Andrew Gambardella, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo 3/10/2026

Safe Transformer: An Explicit Safety Bit For Interpretable And Controllable Alignment

Safe Transformer: Modular approach adding explicit safety bit as interpretable information bottleneck for controllable alignment in language models.

Ax Ramchand Kumaresan 3/10/2026

Orion: Characterizing and Programming Apple's Neural Engine for LLM Training and Inference

Orion: First open system enabling direct LLM training and inference on Apple Neural Engine (ANE) with compiler pipeline and on-device training support.

Ax Jiefu Zhang, Yang Xu, Vaneet Aggarwal 3/10/2026

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds

Reinforcement learning approach for safe neural navigation in variable-density crowds that generalizes beyond training conditions.

Ax Dongheon Lee, Seokju Yun, Jaegyun Im, Youngmin Ro 3/10/2026

Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention

Super-resolution transformer optimization using FlashAttention with rank-factorized implicit neural bias to reduce computational burden.

Ax Zhiying Jiang, Raihan Seraj, Marcos Villagra, Bidhan Roy 3/10/2026

Heterogeneous Decentralized Diffusion Models

Efficient decentralized framework for training diffusion models with heterogeneous objectives across isolated experts with reduced computational requirements.

Ax Xiaoxuan Liang, Saeid Naderiparizi, Yunpeng Liu, Berend Zwartsenberg, Frank Wood 3/10/2026

Improved Constrained Generation by Bridging Pretrained Generative Models

Constrained generation framework for diffusion models handling complex feasible regions in robotics and autonomous driving applications.

Ax Jianyuan Zhong, Kaibo Wang, Ding Ding, Zijin Feng, Haoli Bai, Yang Xiang, Jiacheng Sun, Qiang Xu 3/10/2026

Stabilizing Reinforcement Learning for Diffusion Language Models

Method to stabilize Group Relative Policy Optimization (GRPO) for diffusion language models by addressing reward collapse issues in post-training.

Ax Minjae Kang, Jaehyung Kim 3/10/2026

Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection

DIRECTER: Dynamic rejection steering technique for LLMs to improve instruction following while avoiding oversteering that degrades output quality.

Ax Xiaoyang Hou, Junqi Liu, Chence Shi, Xin Liu, Zhi Yang, Jian Tang 3/10/2026

Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment

Multi-objective protein sequence design balancing designability with properties like solubility and thermostability.

Ax Saadet M\"uzehher Eren 3/10/2026

Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks

Quantum implicit neural representations in autoencoders and VAEs for image reconstruction and generation tasks.

Ax Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng 3/10/2026

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection

Drift detection method for imbalanced streaming data using unbiased cluster descriptors in dynamic systems.

Ax Pablo Guill\'en, Enrique Frias-Martinez 3/10/2026

Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer Disease

SHAP explainability methods for improving interpretability of ML models in Alzheimer's disease diagnosis and prognosis.

Ax Hadi Salloum, Maximilian Mifsud Bonici, Sinan Ibrahim, Pavel Osinenko, Alexei Kornaev 3/10/2026

Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets

Physics-informed neural networks optimization via sparse QUBO and coreset construction for efficient collocation point selection.

Ax Serio Agriesti (Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark), Guido Cantelmo (Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark), Francisco Camara Pereira (Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark) 3/10/2026

Metalearning traffic assignment for network disruptions with graph convolutional neural networks

Meta-learning approach using graph convolutional networks to handle traffic flow prediction under network disruptions.

Ax Julien Amblard, Niklas Groll, Matthew Tait, Mark Law, G\"urkan Sin, Alessandra Russo 3/10/2026

Failure Detection in Chemical Processes using Symbolic Machine Learning: A Case Study on Ethylene Oxidation

Symbolic machine learning for failure detection in chemical processes, addressing interpretability vs neural network approaches.

Ax Jericho Cain 3/10/2026

Gauge Freedom and Metric Dependence in Neural Representation Spaces

Theoretical analysis of coordinate freedom and metric dependence in neural network representation spaces.

Ax Bulent Soykan 3/10/2026

HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers

Deep reinforcement learning approach using heterogeneous graph transformers for job shop scheduling problems.

Ax Sayeem Bin Zaman, Fahim Hafiz, Riasat Azim 3/10/2026

SpatialMAGIC: A Hybrid Framework Integrating Graph Diffusion and Spatial Attention for Spatial Transcriptomics Imputation

Graph diffusion and spatial attention framework for imputing sparse spatial transcriptomics data in gene expression analysis.

Ax Gregor Baer 3/10/2026

xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth

xaitimesynth: Reusable Python package for evaluating time series attribution methods using synthetic ground truth data with class-discriminating features.

Ax Marawan Yakout, Tannistha Maiti, Monira Majhabeen, Tarry Singh 3/10/2026

Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data

Physics-informed diffusion model for generating synthetic rare weather events preserving physical consistency. Addresses data scarcity for tropical cyclone detection.

Ax Mai Pham, Vikrant Vaze, Peter Chin 3/10/2026

Optimistic Policy Regularization

OPR: Lightweight mechanism preventing premature policy convergence in deep RL by maintaining buffer of high-performing episodes during optimization.

Ax Irene Wang, Vishnu Varma Venkata, Arvind Krishnamurthy, Divya Mahajan 3/10/2026

NEST: Network- and Memory-Aware Device Placement For Distributed Deep Learning

NEST: Device placement optimization for distributed deep learning that jointly considers parallelism, memory, and network topology without post-hoc feasibility fixes.

Ax Wenjing Chen, Chengyuan Qian, Shuo Xing, Yi Zhou, Victoria Crawford 3/10/2026

Multi-Agent Reinforcement Learning with Submodular Reward

Framework for cooperative multi-agent RL with submodular rewards modeling overlapping agent contributions. First formal analysis of diminishing returns in team coordination.

Ax Dhruman Gupta (Ashoka University), Yashas Shende (Ashoka University), Aritra Das (Ashoka University), Chanda Grover Kamra (Ashoka University), Debayan Gupta (Ashoka University) 3/10/2026

Joint 3D Gravity and Magnetic Inversion via Rectified Flow and Ginzburg-Landau Guidance

Rectified flow and Ginzburg-Landau guidance methods for 3D gravity and magnetic inversion in subsurface ore detection. Physics-based inverse problem solving.

Ax Yanjun Chen, Yirong Sun, Hanlin Wang, Xinming Zhang, Xiaoyu Shen, Wenjie Li, Wei Zhang 3/10/2026

Contextual Counterfactual Credit Assignment for Multi-Agent Reinforcement Learning in LLM Collaboration

C3 algorithm for multi-agent reinforcement learning with LLMs. Addresses credit assignment problem in sparse reward scenarios through contextual counterfactual analysis.

Ax Mingi Kang, Zai Yang, Jeova Farias Sales Rocha Neto 3/10/2026

IGLU: The Integrated Gaussian Linear Unit Activation Function

Gaussian Linear Unit activation function analyzing mathematical relationships among modern transformer alternatives to ReLU.

Ax Abdulrahman Alswaidan, Jeffrey D. Varner 3/10/2026

Stochastic Attention via Langevin Dynamics on the Modern Hopfield Energy

Stochastic attention mechanism via Langevin sampling on Hopfield energy enabling temperature-controlled retrieval and generation.

Ax Gyujun Jeong (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA), Sungwon Cho (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA), Minji Shon (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA), Namhoon Kim (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA), Woohyun Hwang (Semiconductor Research and Development, Samsung Electronics Co., Ltd, South Korea), Kwangyou Seo (Semiconductor Research and Development, Samsung Electronics Co., Ltd, South Korea), Suhwan Lim (Semiconductor Research and Development, Samsung Electronics Co., Ltd, South Korea), Wanki Kim (Semiconductor Research and Development, Samsung Electronics Co., Ltd, South Korea), Daewon Ha (Semiconductor Research and Development, Samsung Electronics Co., Ltd, South Korea), Prasanna Venkatesan (NVIDIA, Santa Clara, CA, USA), Kihang Youn (NVIDIA, Santa Clara, CA, USA), Ram Cherukuri (NVIDIA, Santa Clara, CA, USA), Yiyi Wang (NVIDIA, Santa Clara, CA, USA), Suman Datta (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA), Asif Khan (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA), Shimeng Yu (School of Electrical and Computer Engineering, Georgia Institute of Technology, GA, USA) 3/10/2026

Physics-informed AI Accelerated Retention Analysis of Ferroelectric Vertical NAND: From Day-Scale TCAD to Second-Scale Surrogate Model

Physics-informed surrogate model for ferroelectric NAND retention analysis replacing expensive TCAD simulations.

Ax Yan-Ying Chen, Dule Shu, Matthew Hong, Andrew Taber, Jonathan Li, Matthew Klenk 3/10/2026

Learning From Design Procedure To Generate CAD Programs for Data Augmentation

LLM-based CAD program generation using design procedures and geometric constraints for parametric model synthesis.

Ax Jim Achterberg, Marcel Haas, Bram van Dijk, Marco Spruit 3/10/2026

XGenBoost: Synthesizing Small and Large Tabular Datasets with XGBoost

Generative models for tabular data using XGBoost as score estimator with denoising diffusion for small and large datasets.

Ax Nandan Kumar Jha, Brandon Reagen 3/10/2026

NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks

Eigenspectral framework analyzing information flow in LLM feed-forward networks through lightweight spectral metrics.

Ax Zhixu Du, Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath, Hai Helen Li, Yiran Chen 3/10/2026

Swimba: Switch Mamba Model Scales State Space Models

Mixture-of-experts approach for state space models with expert specialization while maintaining computational efficiency.

Ax Milad Shirani, Pete H. Gueldner, Murat Khidoyatov, Jeremy L. Warren, Federica Ninno 3/10/2026

Physics-Consistent Neural Networks for Learning Deformation and Director Fields in Microstructured Media with Loss-Based Validation Criteria

Physics-consistent neural networks for Cosserat elasticity modeling deformation and director fields in microstructured materials.

Ax Ege C. Kaya, Mahsa Ghasemi, Abolfazl Hashemi 3/10/2026