Ax Daran Xu, Amirhossein Taghvaei 4/3/2026

Causal Optimal Coupling for Gaussian Input-Output Distributional Data

Mathematical study of optimal coupling in causal dynamical systems using Schrödinger Bridge framework for input-output distributional data.

Ax Andrea Maldonado, Christian Imenkamp, Hendrik Reiter, Thomas Seidl, Wilhelm Hasselbring, Martin Werner, Agnes Koschmider 4/3/2026

Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams

Framework for conceptualizing and generating intentional event streams to evaluate stream processing and mining algorithms.

Ax Georgiy A. Bondar, Abigail Eisenklam, Yifan Cai, Robert Gifford, Tushar Sial, Linh Thi Xuan Phan, Abhishek Halder 4/3/2026

Generative Profiling for Soft Real-Time Systems and its Applications to Resource Allocation

Generative approach for characterizing task timing in real-time systems across varying hardware resource contexts.

Ax Khalid Adnan Alsayed 4/3/2026

When AI Gets it Wong: Reliability and Risk in AI-Assisted Medication Decision Systems

Study of reliability gaps in AI-assisted medication systems, highlighting risks in healthcare decision support.

Ax Yakun Wang, Min Chen, Zeguan Wu, Junyu Liu, Sitao Zhang, Zhenwen Shao 4/3/2026

Infeasibility Aware Large Language Models for Combinatorial Optimization

Framework combining LLMs with infeasibility detection for NP-hard combinatorial optimization problems.

Ax Scott Xu, Dian Chen, Kelvin Wong, Chris Zhang, Kion Fallah, Raquel Urtasun 4/3/2026

Efficient Equivariant Transformer for Self-Driving Agent Modeling

Equivariant transformer architecture for modeling agent behaviors in autonomous driving with SE(2) symmetry.

Ax Zhehang Du, Weijie Su 4/3/2026

The Newton-Muon Optimizer

New optimizer deriving design principles from Muon, improving LLM training efficiency through surrogate model analysis.

Ax Yunbei Zhang, Chengyi Cai, Feng Liu, Jihun Hamm 4/3/2026

Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation

Method for efficiently adapting closed-box LLM APIs to target tasks by priming followed by local optimization.

Ax Matthew Loftus 4/3/2026

The topological gap at criticality: scaling exponent d + {\eta}, universality, and scope

Theoretical physics study of topological gaps in spin models and critical phenomena using persistent homology.

Ax Tareq Aldirawi, Yun Li, Wenge Guo 4/3/2026

Non-monotonicity in Conformal Risk Control

Research on conformal risk control under non-monotonic loss functions for distribution-free prediction guarantees.

Ax Smriti Jha, Matteo Paltenghi, Chandra Maddila, Vijayaraghavan Murali, Shubham Ugare, Satish Chandra 4/3/2026

ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

Benchmark dataset for evaluating AI coding agents based on production workloads, addressing language distribution and codebase structure gaps.

Ax Yiming Fan (The Ohio State University), Jun Yeon Won (The Ohio State University), Ding Zhu (The Ohio State University), Melih Sirlanci (The Ohio State University), Mahdi Khalili (The Ohio State University), Carter Yagemann (The Ohio State University) 4/3/2026

EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild

EXHIB benchmark for binary function similarity detection supporting vulnerability analysis and malware classification.

Ax Abdelrahman Abouzeid (Georgia Institute of Technology) 4/3/2026

Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training

Study of interactions between normalization methods and optimizers in LLM training at 1B parameters.

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.