Ax Nil Ayday, Lingchu Yang, Debarghya Ghoshdastidar 3/19/2026

Gaussian Process Limit Reveals Structural Benefits of Graph Transformers

Theoretical analysis proving graph transformers have structural benefits over GCNs for node-level prediction via Gaussian process limits.

Ax Zihao Zheng, Zhihao Mao, Sicheng Tian, Maoliang Li, Jiayu Chen, Xinhao Sun, Zhaobo Zhang, Xuanzhe Liu, Donggang Cao, Hong Mei, Xiang Chen 3/19/2026

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness

HeiSD: Hybrid speculative decoding for Vision-Language-Action robot control models combining drafter-based and retrieval-based acceleration with kinematic awareness.

Ax Suryasis Jana, Abhik Ghosh 3/19/2026

rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks

rSDNet: Robust neural learning framework defending against both label noise and adversarial attacks using alternative loss functions to standard cross-entropy.

Ax Liang Shi, Jiarui Lu, Junqi Liu, Chence Shi, Zhi Yang, Jian Tang 3/19/2026

Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics

State space models for biomolecular dynamics modeling, accelerating MD simulations while preserving temporal relationships for drug discovery applications.

Ax Jaemin Kim, Jong Chul Ye 3/19/2026

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models

Adaptive guidance mechanism for RAG-enhanced masked diffusion models to handle retrieval-prior conflicts when context is noisy or inconsistent.

Ax Mohsen Arjmandi 3/19/2026

Sensi: Learn One Thing at a Time -- Curriculum-Based Test-Time Learning for LLM Game Agents

Sensi: LLM agent architecture for ARC-AGI-3 using curriculum-based test-time learning with perception-action separation and active hypothesis testing.

Ax Tommaso Giovannelli, Jingfu Tan, Luis Nunes Vicente 3/19/2026

Stochastic set-valued optimization and its application to robust learning

Stochastic set-valued optimization framework for robust machine learning using multi-objective optimization with hyperbox set representations.

Ax Matthew Wiesner, Samuele Cornell, Alexander Polok, Lucas Ondel Yang, Luk\'a\v{s} Burget, Sanjeev Khudanpur 3/19/2026

Modeling Overlapped Speech with Shuffles

Uses shuffle products and finite-state automata to model overlapped speech for alignment and speaker-attributed transcription via marginalizing serializations.

Ax Teng Pan, Yuchen Yan, Zixuan Wang, Ruiqing Zhang, Gaiyang Han, Wanqi Zhang, Weiming Lu, Jun Xiao, Yongliang Shen 3/19/2026

CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution

CoVerRL framework escapes consensus trap in label-free LLM reasoning by using generator-verifier co-evolution to maintain output diversity and avoid reinforced systematic errors.

Ax Narjes Ansari, C\'esar Feniou, Nicola\"i Gouraud, Daniele Loco, Siwar Badreddine, Baptiste Claudon, F\'elix Aviat, Marharyta Blazhynska, Kevin Gasperich, Guillaume Michel, Diata Traore, Corentin Villot, Thomas Pl\'e, Olivier Adjoua, Louis Lagard\`ere, Jean-Philip Piquemal 3/19/2026

The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery

Framework integrating HPC, ML, and quantum computing for drug discovery, replacing trial-and-error with quantitative precision in molecular dynamics.

Ax Dmitriy Rivkin, Parker Ewen, Lili Gao, Julian Ost, Stefanie Walz, Rasika Kangutkar, Mario Bijelic, Felix Heide 3/19/2026

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation

ChopGrad reduces memory costs in video diffusion model training by using truncated backpropagation with pixel-wise losses instead of accumulating activations.

Ax Jefferson Hernandez, Swarnadeep Saha, Chenxi Whitehouse, Sanjeel Parekh, Calvin Murdock, Yuliang Li, W. Owen Brimijoin, Vamsi Krishna Ithapu, Ishwarya Ananthabhotla 3/19/2026

Text-to-Stage: Spatial Layouts from Long-form Narratives

Language model infers stage-play layouts (scenes, positions, movements) from narrative text without explicit spatial cues, testing spatial reasoning capabilities.

Ax Petros Ellinas, Indrajit Chaudhuri, Johanna Vorwerk, Spyros Chatzivasileiadis 3/19/2026

Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation

Text-to-Stage: LLM-based spatial reasoning from narratives to generate stage-play layouts. Probes compositional reasoning in language models.

Ax Dharshan Kumaran, Arthur Conmy, Federico Barbero, Simon Osindero, Viorica Patraucean, Petar Velickovic 3/19/2026

How do LLMs Compute Verbal Confidence

Physics-informed ML surrogates for power grid simulation validation. Application of ML to scientific computing.

Ax Sergey V. Samsonau 3/19/2026

scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns

Research on how LLMs generate verbal confidence scores. Investigates timing and computation of uncertainty estimates in black-box models.

Ax Leonardo Defilippis, Florent Krzakala, Bruno Loureiro, Antoine Maillard 3/19/2026

A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models

scicode-lint: LLM-generated patterns for detecting methodology bugs in scientific Python code. Addresses sustainability of ML-specific linters.

Ax Niladri Shekhar Dutt, Zifan Shi, Paul Guerrero, Chun-Hao Paul Huang, Duygu Ceylan, Niloy J. Mitra, Xuelin Chen 3/19/2026

LoST: Level of Semantics Tokenization for 3D Shapes

LoST: level-of-semantics tokenization method for 3D shape generation improving autoregressive 3D generative models.

Ax Jianrui Zhang, Yue Yang, Rohun Tripathi, Winson Han, Ranjay Krishna, Christopher Clark, Yong Jae Lee, Sangho Lee 3/19/2026

Unified Spatio-Temporal Token Scoring for Efficient Video VLMs

Token pruning framework for efficient video vision-language models reducing computational cost via temporal token scoring.

Ax Ling Chen, Jiahui Xu, Binqing Wu, Mingqi Lv, Chaoqun Zhan, Sanjian Chen, Jian Chang 3/19/2026

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method

Graph neural network method for air quality forecasting modeling pollution diffusion between cities and monitoring stations.

Ax Bart Cox, Lydia Y. Chen, J\'er\'emie Decouchant 3/19/2026

Aergia: Leveraging Heterogeneity in Federated Learning Systems

Aergia: federated learning system leveraging client heterogeneity in computing power to reduce training time.

Ax Jun Sun, Wancheng Zhang, Chao Zhou, Zhongjie Mao, Chao Li, Xiao-Jun Wu 3/19/2026

Feature Space Renormalization for Semi-supervised Learning

Feature space renormalization mechanism for semi-supervised learning improving consistency regularization on unlabeled data.

Ax Bruno Laboissiere Camargos Borges, Bruno Machado Pacheco, Danilo Silva 3/19/2026

Soft Dice Confidence: A Near-Optimal Confidence Estimator for Selective Prediction in Semantic Segmentation

Soft Dice Confidence: confidence estimator for selective prediction in semantic segmentation enabling model abstention.

Ax Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu 3/19/2026

Hi-GMAE: Hierarchical Graph Masked Autoencoders

Hi-GMAE: hierarchical graph masked autoencoders for multi-scale self-supervised learning on graph-structured data.

Ax Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco Locatello 3/19/2026

Demystifying amortized causal discovery with transformers

Analyzes transformer-based amortized causal discovery on observational data, bridging supervised learning with identifiability theory.

Ax Ruining Yang, Yi Xu, Yun Fu, Lili Su 3/19/2026

Den-TP: A Density-Balanced Data Curation and Evaluation Framework for Trajectory Prediction

Den-TP: data curation framework addressing long-tail distribution in trajectory prediction datasets for autonomous driving.

Ax Aleksandar Vujinovic, Aleksandar Kovacevic 3/19/2026

ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning

ACT-JEPA: joint-embedding predictive architecture for efficient policy representation learning via self-supervised learning from unlabeled data.

Ax Xuyang Li, Romit Maulik 3/19/2026

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning

SALSA-RL: stability analysis method for deep reinforcement learning agents enabling interpretability and safety assessments in continuous control.

Ax Yuxiao Wen, Yanjun Han, Zhengyuan Zhou 3/19/2026

Joint Value Estimation and Bidding in Repeated First-Price Auctions

Studies regret minimization in repeated first-price auctions with causal inference for online advertising scenarios.

Ax Ioannis Dimanidis, Tolga Ok, Peyman Mohajerin Esfahani 3/19/2026

Offline Reinforcement Learning via Inverse Optimization

Offline reinforcement learning algorithm leveraging inverse optimization and sub-optimality loss for continuous state/action spaces.

Ax Xiaohong Yang, Minghui Liwang, Liqun Fu, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Yiguang Hong 3/19/2026

Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT

Hierarchical federated learning framework using UAVs as mobile aggregators for distributed IoT systems with limited connectivity.

Ax Cheng Zhen, Prayoga, Nischal Aryal, Arash Termehchy, Garrett Biwer, Lubna Alzamil 3/19/2026

Learning Over Dirty Data with Minimal Repairs

Proposes minimal repair concept showing imputing all missing values unnecessary; identifies critical missing data subsets for accurate ML models.

Ax Zihao Guo, Shuqing Shi, Richard Willis, Tristan Tomilin, Joel Z. Leibo, Yali Du 3/19/2026

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas

SocialJax: evaluation suite for multi-agent reinforcement learning in sequential social dilemmas, measuring agent generalization.

Ax Deshani Geethika Poddenige, Sachith Seneviratne, Asela Hevapathige, Damith Senanayake, Mahesan Niranjan, PN Suganthan, Saman Halgamuge 3/19/2026

Arch-VQ: Discrete Architecture Representation Learning with Autoregressive Priors

Proposes Arch-VQ for learning discrete neural architecture representations using autoregressive priors instead of continuous VAE mapping.

Ax Alireza Aghabagherloo, Aydin Abadi, Sumanta Sarkar, Vishnu Asutosh Dasu, Bart Preneel 3/19/2026

Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models

Studies impact of duplicated training data on deep neural network image classifiers, comparing robust vs. standard models against adversarial attacks.

Ax Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi 3/19/2026

Explanations Go Linear: Post-hoc Explainability for Tabular Data with Interpretable Meta-Encoding

arXiv paper: ILLUME method for post-hoc explainability of tabular ML models with interpretable meta-encoding.

Ax Jenni Lampainen, Kaisa Joki, Napsu Karmitsa, Marko M. M\"akel\"a 3/19/2026

Clust-Splitter - an Efficient Nonsmooth Optimization-Based Algorithm for Clustering Large Datasets

arXiv paper: Clust-Splitter algorithm for efficient clustering on large datasets using nonsmooth optimization.

Ax Arjun Prakash, Naicheng He, Denizalp Goktas, Jacob Makar-Limanov, Amy Greenwald 3/19/2026

Bi-Level Policy Optimization with Nystr\"om Hypergradients

arXiv paper: Bi-level policy optimization with Nyström hypergradients for actor-critic reinforcement learning algorithms.

Ax Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong 3/19/2026

Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data

arXiv paper: Restoration Score Distillation framework for learning generative models from corrupted data. Novel ML research.

Ax Aobo Liang, Yan Sun, Xiaohou Shi, Ke Li 3/19/2026

Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines

Foundation model for time series forecasting using mixture-of-experts architecture with decoupled training to handle diverse temporal patterns and multi-variable correlations.

Ax Peter Holderrieth, Ezra Erives 3/19/2026

An Introduction to Flow Matching and Diffusion Models

Tutorial on diffusion and flow-based generative models covering mathematical foundations, ODEs, SDEs, and core algorithms for image, video, and multi-modal generation.

Ax Yihong Guo, Yu Yang, Pan Xu, Anqi Liu 3/19/2026

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning

Offline reinforcement learning method for mismatched dynamics leveraging model-based approaches to explore high-reward states.

Ax Luca Stradiotti, Dario Pesenti, Stefano Teso, Jesse Davis 3/19/2026

Knowing What You Cannot Explain: Learning to Reject Low-Quality Explanations

Learning to Reject framework extending ML models to abstain from predictions and explanations with low quality.

Ax Kazuki Irie, Samuel J. Gershman 3/19/2026

Fast weight programming and linear transformers: from machine learning to neurobiology

Fast weight programmers with 2D matrix hidden states connecting RNNs, language modeling, and neurobiology.

Ax Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu 3/19/2026

Tree Search for LLM Agent Reinforcement Learning

Tree-based group relative policy optimization for LLM agents addressing sparse supervision in multi-turn tasks.

Ax Aayush Mishra, Daniel Khashabi, Anqi Liu 3/19/2026

IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning

Method aligning supervised fine-tuning with in-context learning activations to improve LLM generalization and calibration.

Ax Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian 3/19/2026

In-Context Compositional Q-Learning for Offline Reinforcement Learning

Offline reinforcement learning using in-context learning with linear Transformers for compositional Q-function estimation.

Ax Arpit Garg, Hemanth Saratchandran, Ravi Garg, Simon Lucey 3/19/2026

Stable Forgetting: Bounded Parameter-Efficient Unlearning in Foundation Models

Parameter-efficient unlearning method for foundation models addressing privacy/safety with bounded weight growth.

Ax Ziyan Wang, Zheng Wang, Xingwei Qu, Qi Cheng, Jie Fu, Shengpu Tang, Minjia Zhang, Xiaoming Huo 3/19/2026

Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning

Slow-Fast Policy Optimization framework for improving LLM reasoning via reinforcement learning with stable gradient updates.

Ax Hyunsik Yoo, Ting-Wei Li, SeongKu Kang, Zhining Liu, Charlie Xu, Qilin Qi, Hanghang Tong 3/19/2026

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems

Proposes continual low-rank adapters for LLM-based recommender systems handling evolving users and preferences without catastrophic forgetting.

Ax Yanan Zhao, Feng Ji, Jingyang Dai, Jiaze Ma, Keyue Jiang, Kai Zhao, Wee Peng Tay 3/19/2026

Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks

Presents augmentation-free graph contrastive learning via fractional-order neural diffusion networks for multi-scale structure learning.