Ax Zhihuan Wei, Xinhang Chen, Danyang Han, Yang Hu, Jie Liu, Xuewen Miao, Guijiang Li 4/3/2026

LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis

LiteInception: lightweight interpretable deep learning framework for fault diagnosis on edge devices.

Ax Linyang He, Qiyao Yu, Hanze Dong, Baohao Liao, Xinxing Xu, Micah Goldblum, Jiang Bian, Nima Mesgarani 4/3/2026

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

LiveMathematicianBench: benchmark for evaluating LLM mathematical reasoning capabilities with proof sketches.

Ax Jung-hun Kim, Vianney Perchet 4/3/2026

Learning in Prophet Inequalities with Noisy Observations

Prophet inequality problem with noisy observations and unknown reward distributions using linear models.

Ax Yaxin Luo, Zhiqiang Shen 4/3/2026

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks

Study on language pre-training bias improving performance on general vision tasks through cross-modality transfer.

Ax Jamie S. J. Stirling, Noura Al-Moubayed, Hubert P. H. Shum 4/3/2026

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images

Analysis of permutation-invariant discrete representation learning for spatially aligned images using vector quantization.

Ax George Sebastian, Philipp Berthold, Bianca Forkel, Leon Pohl, Mirko Maehlisch 4/3/2026

Learning Spatial Structure from Pre-Beamforming Per-Antenna Range-Doppler Radar Data via Visibility-Aware Cross-Modal Supervision

Learning spatial structure from automotive radar pre-beamforming data using cross-modal supervision.

Ax Ga\"etan Hadjeres, Marc Ferras, Khaled Koutini, Benno Weck, Alexandre Bittar, Thomas Hummel, Zineb Lahrici, Hakim Missoum, Joan Serr\`a, Yuki Mitsufuji 4/3/2026

Woosh: A Sound Effects Foundation Model

Woosh: open-source sound effects foundation model from Sony AI with architecture, training details, and benchmarks.

Ax Isma\"il Baaj, Pierre Marquis 4/3/2026

Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution

Multi-class classification approach using possibilistic supervision and Kullback-Leibler projection.

Ax Dominique Pastor, Elsa Dupraz, Ismail Hbilou, Guillaume Ansel 4/3/2026

A Novel Theoretical Analysis for Clustering Heteroscedastic Gaussian Data without Knowledge of the Number of Clusters

Theoretical analysis for clustering heteroscedastic Gaussian data without prior knowledge of cluster count.

Ax Anatolij Zubow, Joana Angjo, Sigrid Dimce, Falko Dressler 4/3/2026

Physics-Informed Transformer for Multi-Band Channel Frequency Response Reconstruction

Physics-informed transformer for reconstructing wideband channel frequency response in multi-band wireless systems.

Ax Saja Al-Dabet, Sherzod Turaev, Nazar Zaki 4/3/2026

Abnormal Head Movements in Neurological Conditions: A Knowledge-Based Dataset with Application to Cervical Dystonia

NeuroPose-AHM dataset integrating kinematic measurements and clinical scores for neurological disorder diagnosis.

Ax Ayush Garg, Sophia Hager, Jacob Montiel, Aditya Tiwari, Michael Gentile, Zach Reavis, David Magnotti, Wayne Fullen 4/3/2026

RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale

AWS system for automated generation of detection rules for web vulnerability identification from CVE data.

Ax Hugo Koubbi, Borjan Geshkovski, Philippe Rigollet 4/3/2026

Homogenized Transformers

Theoretical analysis of multi-head self-attention transformers using particle systems and homogenization limits.

Ax Antoine Saporta, Baptiste Callard, Corentin Dancette, Julien Khlaut, Charles Corbi\`ere, Leo Butsanets, Amaury Prat, Pierre Manceron 4/3/2026

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

Curia-2 foundation model using self-supervised learning for medical imaging analysis on CT and MRI data.

Ax Xiaofei Song, Kerstin Eder, Jonathan Lawry, R. Eddie Wilson 4/3/2026

Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors

Comparison of centralized and decentralized RL controllers for traffic signal control in urban corridor networks.

Ax Sebastian-Ion Nae, Radu Moldoveanu, Alexandra Stefania Ghita, Adina Magda Florea 4/3/2026

IndoorCrowd: A Multi-Scene Dataset for Human Detection, Segmentation, and Tracking with an Automated Annotation Pipeline

Multi-scene indoor dataset for human detection, segmentation, and tracking across campus locations with automated annotation pipeline.

Ax Yun Zhao, Alex S. L. Tse, Harry Zheng 4/3/2026

Reinforcement Learning for Speculative Trading under Exploratory Framework

Reinforcement learning approach for speculative trading formulated as sequential optimal stopping with Cox process-driven intensity controls.

Ax Soo Won Seo, KyungChae Lee, Hyungchan Cho, Taein Son, Nam Ik Cho, Jun Won Choi 4/3/2026

Mining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection

Mining instance-centric vision-language contexts for human-object interaction detection, leveraging VLMs to improve semantic understanding and contextual reasoning.

Ax Jiachun Jin, Zetong Zhou, Xiao Yang, Hao Zhang, Pengfei Liu, Jun Zhu, Zhijie Deng 4/3/2026

LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model

LatentUM unified model for interleaved cross-modal reasoning combining visual understanding, generation, and world dynamics in latent space.

Ax Jinsu Shin, Sungeun Hong, Jin Yeong Bak 4/3/2026

CASHG: Context-Aware Stylized Online Handwriting Generation

CASHG method for context-aware stylized online handwriting generation with stroke continuity and character spacing.

Ax Ludwig Burger, Annalena Kofler, Lukas Heinrich, Ulrich Gerland 4/3/2026

Gradient estimators for parameter inference in discrete stochastic kinetic models

Gradient estimators for parameter inference in discrete stochastic kinetic models, enabling efficient differentiation of stochastic simulation algorithms.

Ax Heet Nagoriya, Komal Rohit 4/3/2026

Intelligent Cloud Orchestration: A Hybrid Predictive and Heuristic Framework for Cost Optimization

Hybrid framework combining LSTM workload prediction with game-theoretic heuristics for cloud cost optimization during dynamic workload changes.

Ax Vickson Ferrel 4/3/2026

AEGIS: Adversarial Entropy-Guided Immune System -- Thermodynamic State Space Models for Zero-Day Network Evasion Detection

AEGIS system using thermodynamic state space models for zero-day network evasion detection against adversarial byte-level morphing attacks.

Ax Atilla Kaan Alkan, Felix Grezes, Sergi Blanco-Cuaresma, Jennifer Lynn Bartlett, Daniel Chivvis, Anna Kelbert, Kelly Lockhart, Alberto Accomazzi 4/3/2026

AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics

AstroConcepts corpus of 21,702 astrophysics abstracts for multi-label classification research addressing extreme class imbalance with specialized terminology.

Ax Beste Oztop, Dhruva Kulkarni, Zhengji Zhao, Ayse Kivilcim Coskun, Kadidia Konate 4/3/2026

A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems

Two-stage framework for GPU resource and power prediction in HPC systems using Slurm logs and NVIDIA DCGM metrics.

Ax Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, Anna Kelbert, Kelly Lockhart, Alberto Accomazzi 4/3/2026

Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions

Shared task participation comparing lexical and contextual approaches for cross-document software mention coreference resolution under mention noise.

Ax Jeremy Herbst, Jae Hee Lee, Stefan Wermter 4/3/2026

The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level

Analysis of Mixture-of-Experts LLM interpretability at expert level, comparing sparsity properties to dense feed-forward networks using probing methods.

Ax Jiping Luo, Nikolaos Pappas 4/3/2026

Computing the Exact Pareto Front in Average-Cost Multi-Objective Markov Decision Processes

Characterization of exact Pareto fronts in average-cost multi-objective MDPs, extending prior work on discounted settings.

Ax Thomas Stefani, Johann Maximilian Christensen, Elena Hoemann, Frank K\"oster, Sven Hallerbach 4/3/2026

From High-Dimensional Spaces to Verifiable ODD Coverage for Safety-Critical AI-based Systems

Method for verifying operational design domain coverage for safety-critical AI systems in aviation, addressing EASA certification requirements.

Ax Juarez Monteiro, Nathan Gavenski, Gianlucca Zuin, Adriano Veloso 4/3/2026

When to ASK: Uncertainty-Gated Language Assistance for Reinforcement Learning

ASK framework combines smaller language models with RL policies to enhance out-of-distribution generalization by gating LM assistance based on agent uncertainty.

Ax Robert Baumgartner, Sicco Verwer 4/3/2026

(PAC-)Learning state machines from data streams: A generic strategy and an improved heuristic (Extended version)

Extended publication on learning state machines from data streams with PAC-bounds analysis and heuristic improvements.

Ax Abhilash Kar, Basisth Saha, Tanmay Sen, Biswabrata Pradhan 4/3/2026

BVFLMSP : Bayesian Vertical Federated Learning for Multimodal Survival with Privacy

Bayesian vertical federated learning approach for multimodal survival prediction with privacy preservation and uncertainty quantification.

Ax Merve Karakas, Osama Hanna, Lin F. Yang, Christina Fragouli 4/3/2026

Best-Arm Identification with Noisy Actuation

Multi-armed bandit study on best arm identification when agent commands are transmitted over noisy discrete channels with analysis of zero-error capacity.

Ax Keerat Guliani, Deepkamal Gill, David Landsman, Nima Eshraghi, Krishna Kumar, Lovedeep Gondara 4/3/2026

De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules

De Jure is an automated pipeline for extracting structured regulatory rules from legal documents using LLM self-refinement, requiring no human annotation or domain-specific data.

Ax Daiwei Chen, Zhoutong Fu, Chengming Jiang, Haichao Zhang, Ran Zhou, Tan Wang, Chunnan Yao, Guoyao Li, Rui Cai, Yihan Cao, Ruijie Jiang, Fedor Borisyuk, Jianqiang Shen, Jingwei Wu, Ramya Korlakai Vinayak 4/3/2026

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation

Analysis of token initialization strategies for new vocabulary in language models used for generative recommendation systems.

Ax Alexander Pondaven, Ziyi Wu, Igor Gilitschenski, Philip Torr, Sergey Tulyakov, Fabio Pizzati, Aliaksandr Siarohin 4/3/2026

ActionParty: Multi-Subject Action Binding in Generative Video Games

Video diffusion research on multi-agent action binding in generative video games for world models.

Ax Jingwei Ji, Renyuan Xu, Ruihao Zhu 4/3/2026

Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing

Risk-aware linear bandits optimization with application to smart order routing in financial decision-making.

Ax Laurent Condat, Ivan Agarsk\'y, Peter Richt\'arik 4/3/2026

CompressedScaffnew: The First Theoretical Double Acceleration of Communication from Local Training and Compression in Distributed Optimization

ML research on double acceleration of distributed optimization through local training and compression in gradient descent.

Ax Blanka Horvath, Anastasis Kratsios, Yannick Limmer, Xuwei Yang 4/3/2026

Transformers Can Solve Non-Linear and Non-Markovian Filtering Problems in Continuous Time For Conditionally Gaussian Signals

Theoretical analysis showing transformers can solve non-linear non-Markovian stochastic filtering for conditionally Gaussian signals.

Ax Dmitrii Krylov, Armin Karamzade, Roy Fox 4/3/2026

Moonwalk: Inverse-Forward Differentiation

Moonwalk: inverse-forward differentiation technique addressing backpropagation's memory requirements for training deeper networks.

Ax Davide Frizzo, Francesco Borsatti, Alessio Arcudi, Antonio De Moliner, Roberto Oboe, Gian Antonio Susto 4/3/2026

Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI

Industrial anomaly detection approach using ExIFFI for fast, interpretable explanations in Industry 5.0 processes.

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 Bowen Wei, Ziwei Zhu 4/3/2026

Interpretable Classification via a Rule Network with Selective Logical Operators

Neural architecture using selective logical operators for interpretable classification with adaptive AND/OR operations.

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 Alexis Chevalier, Soumya Ghosh, Urvi Awasthi, James Watkins, Julia Bieniewska, Nichita Mitrea, Olga Kotova, Kirill Shkura, Andrew Noble, Michael Steinbaugh, Vijay Sadashivaiah, George Dasoulas, Julien Delile, Christoph Meier, Leonid Zhukov, Iya Khalil, Srayanta Mukherjee, Judith Mueller 4/3/2026

TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology

Foundation model for single-cell RNA sequencing analysis in disease biology and drug discovery 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.