Ax Daniel Nobrega Medeiros 4/10/2026

Conservation Law Breaking at the Edge of Stability: A Spectral Theory of Non-Convex Neural Network Optimization

Spectral theory analysis of gradient descent optimization in ReLU networks, explaining why non-convex optimization works.

Ax Chenchen Xu, Min Zhou, Tiezheng Ge, Weiwei Xu 4/10/2026

GAN-based Domain Adaptation for Image-aware Layout Generation in Advertising Poster Design

GAN-based model with domain adaptation for automated layout generation in poster design using new dataset.

Ax Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis, Aneta Vulgarakis Feljan, Jendrik Seipp 4/10/2026

Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks

Reinforcement learning with reward machines for optimizing sleep scheduling in mobile networks.

Ax Yuhao Zhang, Ti John, Matthias Stosiek, Patrick Rinke 4/10/2026

Bayesian Optimization for Mixed-Variable Problems in the Natural Sciences

Bayesian optimization methods for efficient black-box optimization in mixed-variable scientific problems.

Ax Yucheng Zhou, Dubing Chen, Huan Zheng, Jianbing Shen 4/10/2026

Multimodal Large Language Models for Multi-Subject In-Context Image Generation

MUSIC multimodal LLM for multi-subject in-context image generation, addressing subject identity preservation in text-to-image synthesis.

Ax Prakul Sunil Hiremath 4/10/2026

GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control

GIRL latent world-model framework combining generative models with information-theoretic control for long-horizon model-based RL.

Ax Prakul Sunil Hiremath 4/10/2026

Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm

Replay Suppression Diagnostic protocol for safe RL under delayed harm, addressing environment-level memory for safety.

Ax Jiaming Cheng, Duong Tung Nguyen 4/10/2026

Fast Heterogeneous Serving: Scalable Mixed-Scale LLM Allocation for SLO-Constrained Inference

Constraint-aware heuristics for heterogeneous LLM allocation and serving under latency, accuracy, and budget constraints.

Ax Oleg Platonov, Liudmila Prokhorenkova 4/10/2026

Cluster Attention for Graph Machine Learning

Cluster Attention mechanism for graph transformers improving receptive field while preserving graph-structure inductive biases.

Ax Grace Jiarui Fan, Chengpiao Huang, Tianyi Peng, Kaizheng Wang, Yuhang Wu 4/10/2026

SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation

SYN-DIGITS synthetic control framework for calibrating LLM-based digital twin simulations to match real human behavior.

Ax Peter Amorese, Morteza Lahijanian 4/10/2026

Learning Markov Processes as Sum-of-Square Forms for Analytical Belief Propagation

Sparse Sum-of-Squares functional modeling framework for analytical belief propagation in Markov process models.

Ax Jeffrey D. Varner, Maria Cristina Bravo, Carole McBride, Thomas Orfeo, Ira Bernstein 4/10/2026

Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy

Stochastic Attention generative framework for synthetic patient generation from small longitudinal clinical cohorts.

Ax Henry C. Conklin, Tom Hosking, Tan Yi-Chern, Julian Gold, Jonathan D. Cohen, Thomas L. Griffiths, Max Bartolo, Seraphina Goldfarb-Tarrant 4/10/2026

Learning is Forgetting: LLM Training As Lossy Compression

LLM training as lossy compression framework explaining how LLMs learn by retaining task-relevant information from training data.

Ax Zeran Johannsen 4/10/2026

Implicit Regularization and Generalization in Overparameterized Neural Networks

Theoretical investigation of implicit regularization and optimization dynamics enabling generalization in overparameterized neural networks.

Ax Yumeng Zha, Shengxiang Yang, Xianpeng Wang 4/10/2026

Auto-Configured Networks for Multi-Scale Multi-Output Time-Series Forecasting

Auto-configured networks for multi-scale time-series forecasting with automated preprocessing, architecture, and hyperparameter co-design.

Ax Keito Inoshita, Nobuhiro Hayashida, Akira Imanishi 4/10/2026

Cognitive-Causal Multi-Task Learning with Psychological State Conditioning for Assistive Driving Perception

CauPsi causal multi-task learning framework for driver assistance systems modeling cognitive-causal interactions.

Ax Yue Huang, Haomin Zhuang, Jiayi Ye, Han Bao, Yanbo Wang, Hang Hua, Siyuan Wu, Pin-Yu Chen, Xiangliang Zhang 4/10/2026

Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs

Guardian-as-an-Advisor soft-gating pipeline for LLM safety that provides risk predictions and explanations without hard refusals.

Ax Yang Cao 4/10/2026

Optimal Decay Spectra for Linear Recurrences

Position-Adaptive Spectral approach for improving long-range memory in linear recurrent models via decay spectrum optimization.

Ax Wooin Lee, Hyun-Tae Kim 4/10/2026

SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization

SAGE optimizer for memory-efficient LLM training, addressing AdamW memory bottleneck with sign-adaptive gradient approach.

Ax Andreas Plesner, Francisco Guzm\'an, Anish Athalye 4/10/2026

An Imperfect Verifier is Good Enough: Learning with Noisy Rewards

Study of RLVR robustness to noisy verifiers in LLM post-training, analyzing required verifier accuracy for effective training.

Ax Tao Li, Kaiyuan Hou, Tuan Vinh, Monika Raj, Zhichun Guo, Carl Yang 4/10/2026

Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization

RL with LLM-guided action spaces for drug lead optimization, combining LLMs with synthesis feasibility constraints.

Ax Xiaohuan Li, Junchuan Fan, Bingqi Zhang, Rong Yu, Xumin Huang, Qian Chen 4/10/2026

Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin

GAI-empowered intelligent transportation digital twin using UAVs with diffusion models for processing roadside sensor data.

Ax Micky C. Nnamdi, Benoit L. Marteau, Yishan Zhong, J. Ben Tamo, May D. Wang 4/10/2026

Tree-of-Evidence: Efficient "System 2" Search for Faithful Multimodal Grounding

Tree-of-Evidence inference algorithm for faithful multimodal model grounding with interpretable reasoning in healthcare and high-stakes domains.

Ax Ziyi Ding, Xianxin Lai, Weiyu Chen, Xiao-Ping Zhang, Jiayu Chen 4/10/2026

CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics

CausalVAE as plug-in module for world models improving counterfactual dynamics prediction and robustness under distribution shift.

Ax Fabricio Maci\`a, Shu Nakamura 4/10/2026

Mathematical analysis of one-layer neural network with fixed biases, a new activation function and other observations

Theoretical analysis of single hidden-layer neural networks with ReLU, fixed biases, proving convergence and spectral bias properties.

Ax Yasong Fan 4/10/2026

MIPT-SSM: Scaling Language Models with $O(1)$ Inference Cache via Phase Transitions

MIPT-SSM sequence architecture using measurement-induced phase transitions to achieve O(1) inference cache for language models.

Ax Xing Han L\`u, Siva Reddy 4/10/2026

Structured Distillation of Web Agent Capabilities Enables Generalization

Agent-as-Annotators framework distilling web navigation capabilities from Gemini 3 Pro into smaller models via structured trajectory generation.

Ax Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, TingHao Yu, Feng Zhang, Songlin Hu 4/10/2026

PolicyLong: Towards On-Policy Context Extension

PolicyLong method for extending LLM context windows using on-policy data synthesis to align with model capabilities during training.

Ax Jasper Zhang, Bryan Cheng 4/10/2026

Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning

Information-theoretic framework for predicting task affinity in multi-task learning, addressing gradient-based task relationship estimation.

Ax Hao Gu, Hao Wang, Jiacheng Liu, Lujun Li, Qiyuan Zhu, Bei Liu, Binxing Xu, Lei Wang, Xintong Yang, Sida Lin, Sirui Han, Yike Guo 4/10/2026

QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch

QaRL method for LLM RL training addressing training-inference mismatch by aligning quantized rollouts with learning updates.

Ax Binxing Xu, Hao Gu, Lujun Li, Hao Wang, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Xintong Yang, Chao Li, Sirui Han, Yike Guo 4/10/2026

Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs

Progressive quantization-aware training framework for ultra-low-bit LLMs using outlier channel splitting to stabilize convergence.

Ax Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li 4/10/2026

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

Neuro-inspired architecture using Kuramoto oscillatory phase encoding to improve learning efficiency by incorporating phase dynamics.

Ax Michela Lapenna, Rita Fioresi, Bahman Gharesifard 4/10/2026

Sinkhorn doubly stochastic attention rank decay analysis

Theoretical analysis of doubly stochastic attention in Transformers, examining rank decay and signal degradation across layers.

Ax Jing Wang, Yu-Yang Qian, Ke Xue, Chao Qian, Peng Zhao, Zhi-Hua Zhou 4/10/2026

Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions

Analysis of output-length prediction for efficient LLM serving, examining prompt-conditioned length distributions for batching and memory optimization.

Ax Ivan Tjuawinata, Andre Gunawan, Anh Quan Tran, Nitish Kumar, Payal Pote, Harsh Bansal, Chu-Hung Chi, Kwok-Yan Lam, Parventanis Murthy 4/10/2026

A Systematic Framework for Tabular Data Disentanglement

Framework for tabular data disentanglement transforming complex attribute relationships into latent variables with reduced interdependencies.

Ax Ranya Batsyas, Ritesh Yaduwanshi 4/10/2026

Fraud Detection System for Banking Transactions

ML-based fraud detection framework for banking transactions using PaySim synthetic dataset to address imbalanced classification.

Ax Raphael Fischer, Angus Dempster, Sebastian Buschj\"ager, Matthias Jakobs, Urav Maniar, Geoffrey I. Webb 4/10/2026

Pruning Extensions and Efficiency Trade-Offs for Sustainable Time Series Classification

Framework evaluating time series classification methods across performance and energy efficiency, exploring pruning and resource consumption trade-offs.

Ax Shuaiting Li, Juncan Deng, Kedong Xu, Rongtao Deng, Hong Gu, Minghan Jiang, Haibin Shen, Kejie Huang 4/10/2026

Rethinking Residual Errors in Compensation-based LLM Quantization

Analysis of weight compensation methods for LLM quantization, examining residual errors in techniques like GPTQ for reducing model precision.

Ax Eleni Triantafillou, Ahmed Imtiaz Humayun, Monica Ribero, Alexander Matt Turner, Michael C. Mozer, Georgios Kaissis 4/10/2026

Is your algorithm unlearning or untraining?

Research clarifying distinction between machine unlearning and untraining—different approaches to removing data points or behaviors from trained models.

Ax Ioannis Nasios 4/10/2026

The ecosystem of machine learning competitions: Platforms, participants, and their impact on AI development

Analysis of ML competition platforms (Kaggle, Zindi) examining workflows, evaluation methods, participant expertise, and impact on AI development.

Ax Dominik Seip, Matthias Hein 4/10/2026

Preference Redirection via Attention Concentration: An Attack on Computer Use Agents

Attack on Computer Use Agents targeting vision modality through attention concentration to redirect preferences.

Ax Lena Marie Budde, Ayan Majumdar, Richard Uth, Markus Langer, Isabel Valera 4/10/2026

From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse

Framework for personalized algorithmic recourse providing actionable recommendations with explicit user considerations.

Ax Mohsen Amiri, Mohsen Amiri, Ali Beikmohammadi, Sindri Magnu\'sson, Mehdi Hosseinzadeh 4/10/2026

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC

RL method for partial observability using privileged planner guidance during training with MPC.

Ax Dian S. Y. Pang, Endrias Y. Ergetu, Eric Topham, Ahmed E. Fetit 4/10/2026

Automating aggregation strategy selection in federated learning

Framework automating aggregation strategy selection in federated learning across heterogeneous settings.

Ax Ashutosh Adhikari, Mirella Lapata 4/10/2026

Multimodal Latent Reasoning via Predictive Embeddings

Pearl framework for multimodal reasoning using predictive embeddings to reduce tool-use overhead in VLMs.

Ax Yunusa Haruna, Adamu Lawan, Ibrahim Haruna Abdulhamid, Hamza Mohammed Dauda, Jiaquan Zhang, Chaoning Zhang, Shamsuddeen Hassan Muhammad 4/10/2026

Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?

Studies bias redistribution when vision models selectively unlearn demographic groups.

Ax Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao, Dongsheng Li 4/10/2026

Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference

Efficient MoE inference through budget-aware expert activation allocation reducing latency bottlenecks.

Ax Zhen Li (LMO, CELESTE, HEC Paris), Gilles Stoltz (LMO, CELESTE, HEC Paris) 4/10/2026

A Direct Approach for Handling Contextual Bandits with Latent State Dynamics

Bandit algorithm for contextual decision-making with latent hidden Markov chain dynamics.

Ax Teng Pang, Zhiqiang Dong, Yan Zhang, Rongjian Xu, Guoqiang Wu, Yilong Yin 4/10/2026

Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning

Flow-based method for offline multi-agent reinforcement learning using value guidance.

Ax Andrii Dzhoha, Egor Malykh 4/10/2026

Long-Term Embeddings for Balanced Personalization

Recommender system using long-term embeddings to balance recency bias and stable user preferences.