Isolater - Feed

Ax Zhi-Song Liu, Wenqing Peng, Helmi Toropainen, Ammar Kheder, Andreas Rupp, Holger Froning, Xiaojie Lin, Michael Boy 3/13/2026

Inverse Neural Operator for ODE Parameter Optimization

Two-stage framework using Conditional Fourier Neural Operators to recover hidden ODE parameters from sparse observations.

Ax Keita Kayano, Takayuki Nishio, Daiki Yoda, Yuta Hirai, Tomoko Adachi 3/13/2026

Multi-Station WiFi CSI Sensing Framework Robust to Station-wise Feature Missingness and Limited Labeled Data

Framework for WiFi CSI sensing across multiple stations handling missing features and limited labeled data using self-supervised learning.

Ax Gaspard Berthelier, Tahar Nabil, Etienne Le Naour, Richard Niamke, Samir Perlaza, Giovanni Neglia 3/13/2026

On the Role of Reversible Instance Normalization

Analyzes the role of reversible instance normalization in time series forecasting, addressing distribution shifts in temporal and spatial data.

Ax Yijun Pan, Weikang Qiu, Qiyao Ma, Mingxuan Ju, Tong Zhao, Neil Shah, Rex Ying 3/13/2026

FlexRec: Adapting LLM-based Recommenders for Flexible Needs via Reinforcement Learning

Uses reinforcement learning to adapt LLM-based recommender systems for dynamic, need-specific objectives and complex recommendation goals.

Ax Wanting Liang, Haoang Chi, Zhiheng Zhang 3/13/2026

Causal Representation Learning with Optimal Compression under Complex Treatments

Proposes optimal balancing weights for estimating individual treatment effects in multi-treatment scenarios using causal representation learning.

Ax Rajdeep Pathak, Rahul Goswami, Madhurima Panja, Palash Ghosh, Tanujit Chakraborty 3/13/2026

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting

EnTransformer generative architecture for multivariate probabilistic forecasting with reliable uncertainty quantification.

Ax Xinyu Li, Zhen Zhang, Qi Chen, Anton van den Hengel, Lina Yao, Javen Qinfeng Shi 3/13/2026

Chem4DLLM: 4D Multimodal LLMs for Chemical Dynamics Understanding

Chem4DLLM multimodal LLM interprets 4D molecular trajectories to explain chemical dynamics and reactions.

Ax Xingze Zou, Jing Wang, Yuhua Zheng, Xueyi Chen, Haolei Bai, Lingcheng Kong, Syed A. R. Abu-Bakar, Zhaode Wang, Chengfei Lv, Haoji Hu, Huan Wang 3/13/2026

MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?

MobileKernelBench evaluates LLM capabilities for generating efficient compute kernels optimized for mobile devices.

Ax Ihor Kendiukhov 3/13/2026

Exhaustive Circuit Mapping of a Single-Cell Foundation Model Reveals Massive Redundancy, Heavy-Tailed Hub Architecture, and Layer-Dependent Differentiation Control

Circuit mapping and mechanistic interpretability of Geneformer foundation model reveals redundancy and layer-dependent control.

Ax Bertran Miquel-Oliver, Manel Gil-Sorribes, Victor Guallar, Alexis Molina 3/13/2026

Effective Resistance Rewiring: A Simple Topological Correction for Over-Squashing

Addresses over-squashing in graph neural networks via effective resistance rewiring considering global connectivity constraints.

Ax Walter Nelson, Marco Fumero, Theofanis Karaletsos, Francesco Locatello 3/13/2026

Statistical and structural identifiability in representation learning

Formalizes statistical and structural identifiability as distinct properties explaining representation learning model stability.

Ax Vugar Ismailov 3/13/2026

Topological DeepONets and a generalization of the Chen-Chen operator approximation theorem

Extends DeepONets operator approximation framework to topological settings generalizing Chen-Chen theorem.

Ax Simon Vary, Tyler Farghly, Ilja Kuzborskij, Patrick Rebeschini 3/13/2026

On-Average Stability of Multipass Preconditioned SGD and Effective Dimension

Theoretical analysis of generalization in multipass preconditioned SGD relating population risk curvature to effective dimension.

Ax Haimiti Atila, Seymour M. J. Spence 3/13/2026

Deep Learning-Based Metamodeling of Nonlinear Stochastic Dynamic Systems under Parametric and Predictive Uncertainty

Deep learning metamodeling for nonlinear stochastic dynamic systems accounting for parametric and predictive uncertainty.

Ax Maximilian Schmidt, Swantje Plambeck, Markus Knitt, Hendrik Rose, Goerschwin Fey, Jan Christian Wieck, Stephan Balduin 3/13/2026

Flowcean - Model Learning for Cyber-Physical Systems

Flowcean framework automates data-driven model generation for cyber-physical systems with modular architecture.

Ax Haotong Duan, Zhongming Chen, Ngai Wong 3/13/2026

Efficient Generative Modeling with Unitary Matrix Product States Using Riemannian Optimization

Studies unitary matrix product states from tensor networks for generative modeling with strong physical interpretability.

Ax Valentyn Melnychuk, Vahid Balazadeh, Stefan Feuerriegel, Rahul G. Krishnan 3/13/2026

Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference

Analyzes frequentist consistency of prior-data fitted networks for causal inference compared to classical estimators.

Ax Xingyu Xie, Zhaochen Yu, Yue Liao, Tao Wang, Kim-Chuan Toh, Shuicheng Yan 3/13/2026

Slow-Fast Inference: Training-Free Inference Acceleration via Within-Sentence Support Stability

Training-free decoding acceleration for LLMs exploiting stable attention patterns within semantic spans during generation.

Ax Sophie Jaffard, Ivo F. Sbalzarini 3/13/2026

Chemical Reaction Networks Learn Better than Spiking Neural Networks

Mathematically proves chemical reaction networks can solve tasks requiring hidden layers in spiking neural networks.

Ax Pietro Demurtas, Ferdinando Zanchetta, Giovanni Perini, Rita Fioresi 3/13/2026

A Multi-Label Temporal Convolutional Framework for Transcription Factor Binding Characterization

Develops multi-label temporal convolutional framework for predicting transcription factor binding sites in DNA.

Ax Ming-Hong Chen, Kuan-Chen Pan, You-De Huang, Xi Liu, Ping-Chun Hsieh 3/13/2026

Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics

Addresses cross-domain reinforcement learning challenges when source and target domains have different state or action spaces.

Ax Xiaojie Gu, Dmitry Ignatov, Radu Timofte 3/13/2026

Resource-Efficient Iterative LLM-Based NAS with Feedback Memory

Uses LLMs with feedback memory to automate neural architecture search for CNNs on consumer GPUs without fine-tuning.

Ax Taeho Lee, Donghwan Lee 3/13/2026

Taming the Adversary: Stable Minimax Deep Deterministic Policy Gradient via Fractional Objectives

Proposes MMDDPG algorithm for stable reinforcement learning under environmental disturbances and model uncertainties.

Ax Jae-Won Chung, Jeff J. Ma, Jisang Ahn, Yizhuo Liang, Akshay Jajoo, Myungjin Lee, Mosharaf Chowdhury 3/13/2026

Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models

Cornserve distributed serving system for any-to-any multimodal models with different input/output modalities and scaling characteristics.

Ax Seth Karten, Rahul Dev Appapogu, Chi Jin 3/13/2026

Automatic Generation of High-Performance RL Environments

Automated generation of high-performance RL environments using prompt templates, verification, and agent-assisted repair for <$10 compute cost.

Ax Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor Killian, Aviral Kumar 3/13/2026

IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL

IsoCompute scaling laws for optimal allocation of sampling compute across rollouts, problems, and update steps in LLM RL post-training.

Ax Krishnakumar Balasubramanian, Shiva Prasad Kasiviswanathan 3/13/2026

A Quantitative Characterization of Forgetting in Post-Training

Theoretical analysis of catastrophic forgetting in continual post-training of generative models under two-mode mixture abstraction.

Ax Yulu Gan, Phillip Isola 3/13/2026

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

Neural Thickets shows task-specific expert solutions exist in pretrained weight distributions, enabling discovery through structured optimization.

Ax Ninghui Li, Kaiyuan Zhang, Kyle Polley, Jerry Ma 3/13/2026

Security Considerations for Artificial Intelligence Agents

Perplexity's analysis of security considerations for frontier AI agents based on operating agentic systems at scale.

Ax Fengwei Tian, Payel Bhattacharjee, Heidi Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon 3/13/2026

STAMP: Selective Task-Aware Mechanism for Text Privacy

STAMP framework for text privatization using task-aware token-level privacy budget allocation balancing privacy sensitivity and task utility.

Ax Samy Jelassi, Mujin Kwun, Rosie Zhao, Yuanzhi Li, Nicolo Fusi, Yilun Du, Sham M. Kakade, Carles Domingo-Enrich 3/13/2026

Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models

Feature-matching objective for LLM fine-tuning targeting sequence-level statistics without task-specific verifiers.

Ax Chandler Smith, Magnus Sesodia, Friedrich Lindenberg, Christian Schroeder de Witt 3/13/2026

OpenSanctions Pairs: Large-Scale Entity Matching with LLMs

Large-scale entity matching benchmark with 755K labeled pairs for multilingual compliance workflows benchmarked with LLMs.

Ax Amirhossein Bozorgkhoo, Igor Molybog 3/13/2026

Speculative Decoding Scaling Laws (SDSL): Throughput Optimization Made Simple

Analytical theory connecting LLM hyperparameters to speculative decoding throughput efficiency without training.

Ax Pooria Roy, Nourhan Jadallah. Tomer Lapid, Shahzaib Ahmad, Armita Afroushe, Mete Bayrak 3/13/2026

TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers

End-to-end TinyML system for autonomous navigation on ESP32 microcontroller with quantized CNN.

Ax Yining Qian, Pengjie Wang, Yixiao Li, An-Yang Lu, Cheng Tan, Shuang Li, Lijun Liu 3/13/2026

Co-Diffusion: An Affinity-Aware Two-Stage Latent Diffusion Framework for Generalizable Drug-Target Affinity Prediction

Latent diffusion framework for drug-target affinity prediction with improved cold-start generalization.

Ax William Kengne, Modou Wade 3/13/2026

Deep regression learning from dependent observations with minimum error entropy principle

Deep neural network regression approach using minimum error entropy principle for dependent observations.

Ax Minsak Nanang, Adrian Hilton, Armin Mustafa 3/13/2026

Catalogue Grounded Multimodal Attribution for Museum Video under Resource and Regulatory Constraints

Automated metadata curation for museum video archives using multimodal ML with database grounding.

Ax David Shih 3/13/2026

Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories

Self-supervised ML approach for symbolic simplification of mathematical expressions using oracle trajectories.

Ax Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang 3/13/2026

PACED: Distillation at the Frontier of Student Competence

PACED framework for efficient LLM distillation by focusing training on problems at frontier of student competence.

Ax Massimiliano Altieri, Ronan Hamon, Roberto Corizzo, Michelangelo Ceci, Ignacio Sanchez 3/13/2026

DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries

Graph-based transformer approach for learning domain name embeddings from DNS queries for intrusion detection.

Ax Maximilian Wendlinger, Daniel Kowatsch, Konstantin B\"ottinger, Philip Sperl 3/13/2026

Security-by-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms

Security-focused steering mechanisms for LLM-based code generation using internal representations to prevent vulnerable code.

Ax Linus Folkerts, Will Payne, Simon Inman, Philippos Giavridis, Joe Skinner, Sam Deverett, James Aung, Ekin Zorer, Michael Schmatz, Mahmoud Ghanem, John Wilkinson, Alan Steer, Vy Hong, Jessica Wang 3/13/2026