Ax Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel, Matthieu Puigt 3/24/2026

A Latent Representation Learning Framework for Hyperspectral Image Emulation in Remote Sensing

Latent representation framework for synthetic hyperspectral image generation in remote sensing applications.

Ax L. Riso, M. G. Zoia 3/24/2026

Structural Concentration in Weighted Networks: A Class of Topology-Aware Indices

Framework for measuring concentration in weighted networks considering topology of relationships.

Ax Guannan Lai, Da-Wei Zhou, Zhenguo Li, Han-Jia Ye 3/24/2026

The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation

Method for efficient online adaptation of neural networks to distribution shifts with minimal parameter updates.

Ax Peter Fasogbon, Ugurcan Budak, Patrice Rondao Alface, Hamed Rezazadegan Tavakoli 3/24/2026

Camera-Agnostic Pruning of 3D Gaussian Splats via Descriptor-Based Beta Evidence

Pruning technique for 3D Gaussian splatting representations that is independent of camera parameters.

Ax Marco Arazzi, Vignesh Kumar Kembu, Antonino Nocera 3/24/2026

SecureBreak -- A dataset towards safe and secure models

Dataset and methods for improving security alignment and robustness of large language models against adversarial attacks.

Ax Hubert Leterme, Andreas Tersenov, Jalal Fadili, Jean-Luc Starck 3/24/2026

A plug-and-play approach with fast uncertainty quantification for weak lensing mass mapping

Deep learning method for reconstructing dark matter distribution from weak lensing measurements for cosmological surveys.

Ax Dong Heon Cho, Boyuan Chen 3/24/2026

RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning

RAFL learns residual acceleration fields to reduce sim-to-real gap in soft robot control with differentiable simulators.

Ax Atticus Rex, Elizabeth Qian, David Peterson 3/24/2026

MAGPI: Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data

MAGPI augments Gaussian processes with multifidelity data to improve surrogate modeling accuracy from limited high-fidelity observations.

Ax Risa Shinoda, Kaede Shiohara, Nakamasa Inoue, Hiroaki Santo, Fumio Okura 3/24/2026

AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference

AnimalCLAP combines taxonomy-aware training with language-audio pretraining for species recognition and trait inference from vocalizations.

Ax Syed Usama Imtiaz, Mitra Nasr Azadani, Nasrin Alamdari 3/24/2026

SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models

SpecTM applies physics-informed spectral masking to Earth observation foundation models for trustworthy band reconstruction in remote sensing.

Ax Joanna Zou, Youssef Marzouk 3/24/2026

Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes

Uses determinantal point processes for efficient data curation to select informative atomic configurations for ML interatomic potential training.

Ax A. Chervov, F. Levkovich-Maslyuk, A. Smolensky, F. Khafizov, I. Kiselev, D. Melnikov, I. Koltsov, S. Kudashev, D. Shiltsov, M. Obozov, S. Krymskii, V. Kirova, E. V. Konstantinova, A. Soibelman, S. Galkin, L. Grunwald, A. Kotov, A. Alexandrov, S. Lytkin, D. Fedoriaka, A. Chevychelov, Z. Kogan, A. Natyrova, L. Cheldieva, O. Nikitina, S. Fironov, A. Vakhrushev, A. Lukyanenko, V. Ilin, D. Gorodkov, N. Bogachev, I. Gaiur, M. Zaitsev, F. Petrov, L. Petrov, T. Gaintseva, A. Gavrilova, M. N. Smirnov, N. Kalinin, A. Khan, K. Jung, H. Mousset, H. Isambert, O. Debeaupuis 3/24/2026

CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks

Proposes discrete holographic string duality analogues for AI tasks on large graphs with speculative connections to GPT and RL systems.

Ax Tom Biskupski, Stephan Kleber 3/24/2026

Evaluating the Reliability and Fidelity of Automated Judgment Systems of Large Language Models

Evaluates reliability and fidelity of using LLMs as judges for automated assessment of victim ML model outputs and quality.

Ax Chi Zhang, Xixi Hu, Bo Liu, Qiang Liu 3/24/2026

Gumbel Distillation for Parallel Text Generation

Gumbel Distillation enables parallel decoders to match autoregressive LLM quality by learning joint token distributions via novel distillation.

Ax Yanchen Jiang, Zhe Feng, Christopher P. Mah, Aranyak Mehta, Di Wang 3/24/2026

One Model, Two Markets: Bid-Aware Generative Recommendation

GEM-Rec unifies semantic and commercial retrieval in generative recommender systems by incorporating bid-awareness for monetization.

Ax Claudia Islas-Vargas, L. Ricardo Montoya, Carlos A. Vital-Jos\'e, Oliver T. Unke, Klaus-Robert M\"uller, Huziel E. Sauceda 3/24/2026

Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Machine Learning

Uses SpookyNet ML force field and DFT to characterize sodium storage in aminobenzene-graphene anodes for battery design.

Ax Kelly Cui, Nikhil Prakash, Ayush Raina, David Bau, Antonio Torralba, Tamar Rott Shaham 3/24/2026

The Dual Mechanisms of Spatial Reasoning in Vision-Language Models

Analyzes two concurrent mechanisms in VLMs for spatial reasoning: content-independent spatial tokens and language-based spatial relations.

Ax Haichao Zhang, Yijiang Li, Shwai He, Tushar Nagarajan, Mingfei Chen, Jianglin Lu, Ang Li, Yun Fu 3/24/2026

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

ThinkJEPA combines V-JEPA latent world models with vision-language models for improved long-horizon semantic reasoning in video prediction.

Ax Shivam Duggal, Xingjian Bai, Zongze Wu, Richard Zhang, Eli Shechtman, Antonio Torralba, Phillip Isola, William T. Freeman 3/24/2026

End-to-End Training for Unified Tokenization and Latent Denoising

UNITE enables end-to-end training of latent diffusion models with unified tokenization without separate staging phases.

Ax Umair Nawaz, Ahmed Heakl, Ufaq Khan, Abdelrahman Shaker, Salman Khan, Fahad Shahbaz Khan 3/24/2026

WorldCache: Content-Aware Caching for Accelerated Video World Models

WorldCache accelerates video diffusion Transformers via physics-aware feature caching across denoising steps with content-aware strategies.

Ax Di Chen, Jeff M. Phillips 3/24/2026

Relative Error Embeddings for the Gaussian Kernel Distance

Analyzes approximation quality of random Fourier features for Gaussian kernel RKHS embeddings with relative error bounds.

Ax Caleb Ju, Guanghui Lan 3/24/2026

Policy Optimization over General State and Action Spaces

Generalizes policy mirror descent for RL over continuous/general state and action spaces with convergence guarantees.

Ax Daiqing Qi, Handong Zhao, Sheng Li 3/24/2026

Better Generative Replay for Continual Federated Learning

Introduces continual federated learning with generative replay for incremental task learning across distributed clients without storing history data.

Ax Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, Zengfeng Huang 3/24/2026

Geometric Imbalance in Semi-Supervised Node Classification

Theoretical analysis of geometric imbalance problem in semi-supervised graph node classification on imbalanced datasets.

Ax Rickard Br\"annvall, Tony Zhang, Henrik Forsgren, Andrei Stoian, Fredrik Sandin, Marcus Liwicki 3/24/2026

Inhibitor Transformers and Gated RNNs for Torus Efficient Fully Homomorphic Encryption

FHE-compatible neural architectures using modified Transformers and RNNs for privacy-preserving ML with reduced computational complexity.

Ax Ziao Yang, Han Yue, Jian Chen, Hongfu Liu 3/24/2026

Revisit, Extend, and Enhance Hessian-Free Influence Functions

Extends Hessian-free influence functions for deep models, enabling sample importance assessment for interpretation and noisy label detection.

Ax Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li 3/24/2026

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reveals absorbing discrete diffusion models implicitly model conditional distributions via concrete score functions for language modeling.

Ax Kevin Qiu, W{\l}adys{\l}aw Pa{\l}ucki, Krzysztof Ciebiera, Pawe{\l} Fija{\l}kowski, Marek Cygan, {\L}ukasz Kuci\'nski 3/24/2026

RoboMorph: Evolving Robot Morphology using Large Language Models

Automated modular robot design generation using LLMs and evolutionary algorithms with grammar-based representation and RL refinement.

Ax Caleb Ju, Guanghui Lan 3/24/2026

Strongly-polynomial time and validation analysis of policy gradient methods

Policy gradient methods with novel advantage gap termination criterion achieving strongly-polynomial convergence independent of optimal policy distribution.

Ax Weijia Zhang, Jindong Han, Hao Liu, Wei Fan, Hao Wang, Hui Xiong 3/24/2026

Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal

Meta-transfer learning with temporal graph networks for real estate valuation across cities with limited data.

Ax Dibakar Roy Sarkar, Vijay Kag, Birupaksha Pal, Somdatta Goswami 3/24/2026

Learning Hidden Physics and System Parameters with Deep Operator Networks

Deep operator networks for discovering hidden physics laws and system parameters from sparse observations without retraining.

Ax Heng Zhu, Harsh Vardhan, Arya Mazumdar 3/24/2026

Effectiveness of Distributed Gradient Descent with Local Steps for Overparameterized Models

Analyzes Local-SGD/FedAvg convergence for overparameterized models in distributed training with local update steps.

Ax Rupkatha Hira, Dominik Kau, Jessica Sorrell 3/24/2026

The Cost of Replicability in Active Learning

Investigates sample complexity cost of achieving replicable active learning algorithms across independent runs.

Ax Tetsuya Hoya, Shunpei Morita 3/24/2026

Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network

Probabilistic neural network with incremental learning and unlearning capabilities using automatic construction without hyperparameter tuning.

Ax Abhishek Dalvi, Neil Ashtekar, Vasant Honavar 3/24/2026

C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference

Hyperdimensional computing approach for causal effect estimation from observational data with network confounding and interference.

Ax Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie, Xiang Wan, Anningzhe Gao 3/24/2026

RLHF in an SFT Way: From Optimal Solution to Reward-Weighted Alignment

Simplifies RLHF for LLM alignment by reformulating as supervised learning, reducing complexity and computational cost of PPO/GRPO methods.

Ax Th\'eo Hanon, Nicolas Mil-Homens Cavaco, John Kiely, Laurent Jacques 3/24/2026

Herglotz-NET: Implicit Neural Representation of Spherical Data with Harmonic Positional Encoding

Implicit neural representation method for spherical data using harmonic positional encoding to handle curved domain geometry.

Ax Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen 3/24/2026

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

Multi-modal time series prediction framework combining prototype encoders with three LLMs for improved accuracy and explainability.

Ax Stella C. Dong 3/24/2026

Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes

Applies reinforcement learning to insurance loss reserving under macroeconomic constraints using CVaR and PPO optimization.

Ax Ruitong Li, Aisheng Mo, Guowei Su, Ru Zhang, Binjie Guo, Haohan Jiang, Xurong Lin, Hongyan Wei, Jie Li, Zhiyuan Qian, Zhuhao Zhang, Xiaoyuan Cheng 3/24/2026

AlphaZero-Edu: Democratizing Access to AlphaZero

Educational implementation of AlphaZero reinforcement learning framework addressing complexity and reproducibility challenges for broader accessibility.

Ax Alexander Y. Ku, Thomas L. Griffiths, Stephanie C. Y. Chan 3/24/2026

An evolutionary perspective on modes of learning in Transformers

Analyzes Transformers through evolutionary biology lens, examining in-weight learning vs in-context learning as complementary inference strategies.

Ax Gabriel S. Gama, Valdir Grassi Jr 3/24/2026

Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning

Compares uniform loss vs specialized optimizers in multi-task learning, examining whether equal weighting can match task-specific optimization with proper hyperparameters.

Ax Yuanlin Chu, Bo Wang, Xiang Liu, Hong Chen, Aiwei Liu, Xuming Hu 3/24/2026

SSR: Speculative Parallel Scaling Reasoning in Test-time

SSR: Training-free framework for parallel decoding in LLMs, improving efficiency of test-time scaling reasoning.

Ax Qilin Wang 3/24/2026

FRIREN: Beyond Trajectories -- A Spectral Lens on Time

FRIREN: Spectral method for long-term time-series forecasting using Wasserstein distance on geometric structure.

Ax Isaac Ning Lee, Leila Mahmoodi, Trung Le, Mehrtash Harandi 3/24/2026

Exemplar-Free Continual Learning for State Space Models

Exemplar-free continual learning approach for State Space Models addressing catastrophic forgetting.

Ax Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song 3/24/2026

Learning to Reason without External Rewards

Intuitor: LLM reasoning method using internal confidence signals for RL without external rewards or labeled data.

Ax En Yu, Jie Lu, Guangquan Zhang 3/24/2026

Generalized Incremental Learning under Concept Drift across Evolving Data Streams

Framework for continual learning on data streams with concept drift and evolving label spaces.

Ax Wenbo Yu, Anirbit Ghosh, Tobias Sebastian Finn, Rossella Arcucci, Marc Bocquet, Sibo Cheng 3/24/2026

A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model

Denoising diffusion model for predicting wildfire spread using generative AI.

Ax Muhao Guo, Jiaqi Wu, Yang Weng, Yizheng Liao, Shengzhe Chen 3/24/2026

Graph Structure Learning with Privacy Guarantees for Open Graph Data

Privacy-preserving graph structure learning with differential privacy guarantees for open datasets.

Ax Sarah Lockfisch, Kristian Schwethelm, Martin Menten, Rickmer Braren, Daniel Rueckert, Alexander Ziller, Georgios Kaissis 3/24/2026

On Arbitrary Predictions from Equally Valid Models

Empirical analysis of predictive multiplicity in ML models, examining conflicting predictions across equally valid models.