Ax Kunhee Kim, NaHyeon Park, Kibeom Hong, Hyunjung Shim 3/11/2026

Directional Textual Inversion for Personalized Text-to-Image Generation

Improves textual inversion for personalized text-to-image generation by addressing embedding norm inflation issues in CLIP.

Ax Zijiang Yan, Yixiang Huang, Jianhua Pei, Hina Tabassum, Luca Chiaraviglio 3/11/2026

EMFusion: Conditional Diffusion Framework for Trustworthy Frequency Selective EMF Forecasting in Wireless Networks

Conditional diffusion framework for forecasting electromagnetic field levels in wireless networks.

Ax George Bird 3/11/2026

The Affine Divergence: Aligning Activation Updates Beyond Normalisation

Proposes affine divergence method to align activation updates during gradient descent optimization in neural networks.

Ax Nikos I. Bosse, Peter M\"uhlbacher, Jack Wildman, Lawrence Phillips, Dan Schwarz 3/11/2026

Automating Forecasting Question Generation and Resolution for AI Evaluation

Automates generation and resolution of diverse forecasting questions for evaluating AI systems' general intelligence capabilities.

Ax Zepeng Zhai, Meilin Chen, Jiaxuan Zhao, Junlang Qian, Lei Shen, Yuan Lu 3/11/2026

Rewards as Labels: Revisiting RLVR from a Classification Perspective

Identifies gradient issues in RLVR methods like GRPO used for LLM reasoning tasks, proposing improvements to reward-based supervision.

Ax J Rosser, Robert Kirk, Edward Grefenstette, Jakob Foerster, Laura Ruis 3/11/2026

Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions

Framework using influence functions to edit training data and induce targeted model behavior changes for data poisoning robustness evaluation.

Ax Cherish Puniani, Tushar Kumar, Arnav Bendre, Gaurav Kumar, Shree Singhi 3/11/2026

B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency

Diffusion model distillation technique using branching ensemble networks with dense supervision for accelerated sampling.

Ax Cheng Zeng, Harry W. Sullivan, Thomas Egg, Maya M. Martirossyan, Philipp H\"ollmer, Jirui Jin, Richard G. Hennig, Adrian Roitberg, Stefano Martiniani, Ellad B. Tadmor, Mingjie Liu 3/11/2026

MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching

Flow-matching generative model for predicting periodic molecular crystal structures handling large molecules and complex interactions.

Ax Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara 3/11/2026

Continual uncertainty learning

Deep reinforcement learning approach for robust control under multiple uncertainties combining domain randomization and uncertainty learning.

Ax Ian Li, Zilei Shao, Benjie Wang, Rose Yu, Guy Van den Broeck, Anji Liu 3/11/2026

Breaking the Factorization Barrier in Diffusion Language Models

Addresses factorization barrier in diffusion language models through architectural changes enabling efficient parallel token generation.

Ax Yuandong Zhang, Othmane Echchabi, Tianshu Feng, Wenyi Zhang, Hsuai-Kai Liao, Charles Chang 3/11/2026

Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models

Transformer-based model (SpeedTransformer) for transportation mode detection from smartphone GPS trajectories outperforming LSTM.

Ax Gilad Turok, Chris De Sa, Volodymyr Kuleshov 3/11/2026

DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking

Framework (DUEL) for computing exact likelihood in masked diffusion models by addressing test-time distribution mismatch in ELBO.

Ax Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Mingrui Xu, Weiqing Liu, Jiang Bian 3/11/2026

Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search

LLM-based agent (GOME) for machine learning engineering using gradient-based reasoning instead of tree search for efficient optimization.

Ax Alper Y{\i}ld{\i}r{\i}m 3/11/2026

The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology

Mechanistic interpretability study using architectural topology modifications to investigate grokking and delayed generalization in Transformers.

Ax Helena Casademunt, Bartosz Cywi\'nski, Khoi Tran, Arya Jakkli, Samuel Marks, Neel Nanda 3/11/2026

Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation

Study on eliciting truthful responses from censored LLMs and detecting deception using naturally-occurring dishonesty patterns.

Ax Hui Yang, Tao Ren, Jinyang Jiang, Wan Tian, Yijie Peng 3/11/2026

Omni-Masked Gradient Descent: Memory-Efficient Optimization via Mask Traversal with Improved Convergence

Memory-efficient optimization method for training large language models with mask traversal and convergence guarantees for nonconvex settings.

Ax Martino Ciaperoni, Collin Leiber, Aristides Gionis, Heikki Mannila 3/11/2026

Khatri-Rao Clustering for Data Summarization

Clustering algorithm for data summarization using Khatri-Rao product to reduce redundancies in centroid-based cluster prototypes.

Ax Stamatis Mastromichalakis 3/11/2026

OptiRoulette Optimizer: A New Stochastic Meta-Optimizer for up to 5.3x Faster Convergence

Meta-optimizer that dynamically selects update rules during training with PyTorch compatibility, achieving 5.3x faster convergence.

Ax Xiaoyang Hou, Junqi Liu, Chence Shi, Xin Liu, Zhi Yang, Jian Tang 3/11/2026

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

Multi-objective protein sequence design balancing designability with competing properties like solubility and thermostability using preference alignment.

Ax Angad Singh Ahuja 3/11/2026

Adversarial Latent-State Training for Robust Policies in Partially Observable Domains

Reinforcement learning approach for robust policies under latent distribution shift in partially observable domains using adversarial training.

Ax Sean Gunn, Jorio Cocola, Oliver De Candido, Vaggos Chatziafratis, Paul Hand 3/11/2026

Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems

Generative models with tunable complexity for inverse problems, extending diffusion models and normalizing flows with adaptive dimensionality.

Ax Colin Aitken, Rajat Masiwal, Adam Marchakitus, Katherine Kowal, Mayank Gupta, Tyler Yang, Amir Jina, Pedram Hassanzadeh, William R. Boos, Michael Kremer 3/11/2026

Designing probabilistic AI monsoon forecasts to inform agricultural decision-making

Decision-theory framework for designing probabilistic weather forecasts tailored to heterogeneous farmers' agricultural decision-making.

Ax Prakash Kumbhakar, Shrey Srivastava, Haroon R Lone 3/11/2026

FedPrism: Adaptive Personalized Federated Learning under Non-IID Data

Federated learning framework addressing non-IID data distribution through personalization strategies for heterogeneous client data.

Ax Azul Garza, Ren\'ee Rosillo, Rodrigo Mendoza-Smith, David Salinas, Andrew Robert Williams, Arjun Ashok, Mononito Goswami, Jos\'e Mart\'in Ju\'arez 3/11/2026

Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting

Benchmark for evaluating time-series forecasting foundation models with temporal generalization, addressing train-test contamination issues in static splits.

Ax Asif Hamid, Danish Rafiq, Shahkar Ahmad Nahvi, Mohammad Abid Bazaz 3/11/2026

Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps

Deep learning method for learning coordinates and flow maps to enhance computational efficiency in multiscale dynamical systems.

Ax Shaobo Wang, Youxin Jiang, Tianle Niu, Yantai Yang, Ruiji Zhang, Shuhao Hu, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Conghui He, Xuming Hu, Linfeng Zhang 3/11/2026

DRUPI: Dataset Reduction Using Privileged Information

DRUPI: dataset reduction method using privileged information beyond input-label pairs for dataset condensation tasks.

Ax Isaac Remy, David Fridovich-Keil, Karen Leung 3/11/2026

Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions

Differentiable optimization approach using control barrier functions to learn safe responsibility allocations in multi-agent autonomous systems.

Ax Carl Henrik Ek, Oisin Kim, Challenger Mishra 3/11/2026

Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm

Machine learning techniques for computing Calabi-Yau metrics and Ricci-flat approximations using gradient descent and algebraic ansatz methods.

Ax Prateek Mittal, Joohi Chauhan 3/11/2026

Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation

Adaptive importance sampling and stratified subsampling estimators for robust high-dimensional sparse regression with heavy-tailed noise.

Ax Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler 3/11/2026

SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG

Source-free unsupervised domain adaptation framework for EEG-based applications addressing distribution shifts across subjects and sessions.

Ax Benjamin Peters, Ayush Mohanty, Xiaolei Fang, Stephen K. Robinson, Nagi Gebraeel 3/11/2026

Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes

Prognostics system for autonomous deep-space habitat health monitoring and remaining useful life prediction under multiple failure modes.

Ax Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan 3/11/2026

Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning

MS-HGNN: morphological-symmetry-equivariant heterogeneous graph neural network for robotic dynamics learning with structural priors.

Ax Yixuan Wang, Leonor Fermoselle, Tarik Kelestemur, Jiuguang Wang, Yunzhu Li 3/11/2026

CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph

CuriousBot: mobile robotic exploration system using actionable 3D relational object graphs for interactive environment exploration.

Ax Jakub Adamczyk, Piotr Ludynia, Wojciech Czech 3/11/2026

Molecular Fingerprints Are Strong Models for Peptide Function Prediction

Molecular fingerprints show competitive performance with complex neural networks for peptide function prediction.

Ax Georgios Kamaras, Subramanian Ramamoorthy 3/11/2026

A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation

Real2Sim2Real framework using likelihood-free inference for visual robotic manipulation of deformable linear objects.

Ax Wenhao Qian, Zhenzhen Hu, Zijie Song, Jia Li 3/11/2026

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification

LayerNorm tuning method using concept drift for efficient multimodal metaphor identification in internet memes.

Ax Xiaojie Gu, Ziying Huang, Jia-Chen Gu, Kai Zhang 3/11/2026

UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models

UltraEdit: training-free model editing approach for lifelong knowledge updates in LLMs without retraining or subject-specific data.

Ax Mengda Ji, Genjiu Xu, Keke Jia, Zekun Duan, Yong Qiu, Jianjun Ge, Mingqiang Li 3/11/2026

Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core

CORA: cooperative game-theoretic credit assignment method for multi-agent reinforcement learning using core concepts for advantage allocation.

Ax Haochen Zhang, Zhong Zheng, Lingzhou Xue 3/11/2026

Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning

Regret-optimal Q-learning algorithms minimizing sample collection and policy switching costs in single-agent and federated reinforcement learning.

Ax Gaspard Abel, Argyris Kalogeratos, Jean-Pierre Nadal, Julien Randon-Furling 3/11/2026

Uncovering Social Network Activity Using Joint User and Topic Interaction

Analysis of user and topic interaction dynamics in online social networks and information cascade spreading.

Ax Negar Foroutan, Jakhongir Saydaliev, Ye Eun Kim, Antoine Bosselut 3/11/2026

ConLID: Supervised Contrastive Learning for Low-Resource Language Identification

Supervised contrastive learning approach for low-resource language identification to improve multilingual LLM pretraining corpus curation.

Ax Gilad Lerman, Kang Li, Tyler Maunu, Teng Zhang 3/11/2026

Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery

Theoretical analysis of Iteratively Reweighted Least Squares algorithm for robust subspace recovery with linear convergence guarantees.

Ax Marcel Hudiani 3/11/2026

Convergence Rate for the Last Iterate of Stochastic Gradient Descent Schemes

Research on convergence rates for stochastic gradient descent and heavy ball methods under convex and non-convex objectives using discrete Gronwall's inequality.

Ax Yiqi Wang, Mrinal Verghese, Jeff Schneider 3/11/2026

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models

Latent policy steering approach using embodiment-agnostic pretrained world models to leverage cross-embodiment datasets for robot learning.

Ax Xinxing Wu 3/11/2026

Singing Syllabi with Virtual Avatars: Enhancing Student Engagement Through AI-Generated Music and Digital Embodiment

AI-generated singing avatars presenting course syllabi to improve student engagement and information comprehension in education.

Ax Vladimir Petrovic, R\'emi Bardenet, Agn\`es Desolneux 3/11/2026

Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance

Monte Carlo sampling method for computing integrals on unit spheres with applications to sliced Wasserstein distance computation.

Ax Tobias J\"ulg, Pierre Krack, Seongjin Bien, Yannik Blei, Khaled Gamal, Ken Nakahara, Johannes Hechtl, Roberto Calandra, Wolfram Burgard, Florian Walter 3/11/2026

Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale

Robot Control Stack ecosystem for scalable vision-language-action model training and deployment, replacing traditional robotics frameworks.

Ax Jiahang Cao, Yize Huang, Hanzhong Guo, Rui Zhang, Mu Nan, Weijian Mai, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Qiang Zhang, Yijie Guo, Qihao Zheng, Chunfeng Song, Xiao Li, Ping Luo, Andrew F. Luo 3/11/2026

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition

Test-time composition method for enhancing diffusion-based robot control policies without additional training data or model fine-tuning.

Ax Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesus Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srinivasan Iyer, Duc Le 3/11/2026

Latent Speech-Text Transformer

Latent Speech-Text Transformer improving compute efficiency of speech-text models by reducing token sequence length through latent representations.

Ax Zhanke Zhou, Chentao Cao, Xiao Feng, Xuan Li, Zongze Li, Xiangyu Lu, Jiangchao Yao, Weikai Huang, Tian Cheng, Jianghangfan Zhang, Tangyu Jiang, Linrui Xu, Yiming Zheng, Brando Miranda, Tongliang Liu, Sanmi Koyejo, Masashi Sugiyama, Bo Han 3/11/2026

AlphaApollo: A System for Deep Agentic Reasoning

AlphaApollo agentic reasoning system addressing reasoning capacity and verification bottlenecks through multi-turn reasoning and trustworthy tool integration.