Ax Qian Zhou, Yuanyun Zhang, Shi Li 4/7/2026

Uncertainty-Aware Foundation Models for Clinical Data

Framework for uncertainty-aware foundation models on clinical data, addressing incomplete and irregular measurements in healthcare.

Ax Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick, Richard Baraniuk 4/7/2026

Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach

Copula-based method for generating synthetic educational data that preserves marginal distributions while protecting student privacy.

Ax Haonian Ji, Kaiwen Xiong, Siwei Han, Peng Xia, Shi Qiu, Yiyang Zhou, Jiaqi Liu, Jinlong Li, Bingzhou Li, Zeyu Zheng, Cihang Xie, Huaxiu Yao 4/7/2026

ClawArena: Benchmarking AI Agents in Evolving Information Environments

ClawArena benchmark for evaluating AI agents in dynamic environments with evolving information, contradictions, and implicit user feedback.

Ax Muhammad Rizwan Awan, Volker Pickert, Muhammad Waqar Ashraf, Saleh Ali, Farshid Mahmouditabar, Shafiq Odhano 4/7/2026

Towards Agentic Defect Reasoning: A Graph-Assisted Retrieval Framework for Laser Powder Bed Fusion

Graph-assisted retrieval framework for reasoning about defects in laser powder bed fusion manufacturing using structured scientific knowledge.

Ax Aniruddh G. Puranic, Sebastian Schirmer, John S. Baras, Calin Belta 4/7/2026

Learning from Imperfect Demonstrations via Temporal Behavior Tree-Guided Trajectory Repair

Framework using Temporal Behavior Trees to repair suboptimal trajectories before using them for robot control policy learning.

Ax Charafeddine Mouzouni 4/7/2026

Three Phases of Expert Routing: How Load Balance Evolves During Mixture-of-Experts Training

Analysis of token routing in Mixture-of-Experts models reveals three-phase training trajectory for load balance evolution.

Ax Yancheng Huang, Changsheng Wang, Chongyu Fan, Yicheng Lang, Bingqi Shang, Yang Zhang, Mingyi Hong, Qing Qu, Alvaro Velasquez, Sijia Liu 4/7/2026

Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization

Method for constrained model steering of LLMs addressing safety/privacy requirements via spectral subspace optimization.

Ax Sajad Ghawami 4/7/2026

Good Rankings, Wrong Probabilities: A Calibration Audit of Multimodal Cancer Survival Models

Calibration audit of multimodal cancer survival models fusing histopathology images with genomic data.

Ax Suzan Kagan, Shira Spigelman, Sankar Sudhir, Thalappil Pradeep, Hadas Mamane 4/7/2026

Peoples Water Data: Enabling Reliable Field Data Generation and Microbial Contamination Screening in Household Drinking Water

Two-stage ML framework predicting E. coli presence in household drinking water for microbial contamination screening.

Ax Wenhao Chi, \c{S}. \.Ilker Birbil 4/7/2026

Learning An Interpretable Risk Scoring System for Maximizing Decision Net Benefit

Risk scoring system optimizing net benefit using sparse integer linear programming for high-stakes decision-making.

Ax Aobo Chen, Chenxu Zhao, Chenglin Miao, Mengdi Huai 4/7/2026

Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning

Study of vulnerabilities in large reasoning models when applying machine unlearning techniques to remove influence of specific data.

Ax Mahmoud Srewa, Tianyu Zhao, Salma Elmalaki 4/7/2026

APPA: Adaptive Preference Pluralistic Alignment for Fair Federated RLHF of LLMs

Federated RLHF method for fair LLM alignment across diverse human preferences without centralizing preference data.

Ax Hristo Petkov, Calum MacLellan, Feng Dong 4/7/2026

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis

Dual-step generative framework combining causal structure learning with tabular data synthesis using directed acyclic GANs.

Ax Albert Nasybullin, Semen Kurkin 4/7/2026

Convolutional Neural Network and Adversarial Autoencoder in EEG images classification

Computer vision and neural network approach for classifying human brain activity from EEG data during hand movement.

Ax Albert Nasybullin, Vladimir Maksimenko, Semen Kurkin 4/7/2026

How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data

Pipeline combining LSTM, synthetic data, and fine-tuning for EEG classification on implicit visual stimuli tasks.

Ax Zequn Chen, Wesley J. Marrero 4/7/2026

Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications

Analysis of distributional reinforcement learning for complex domains like healthcare, addressing heterogeneous groups under uncertainty.

Ax Xiuyuan Cheng, Yunqin Zhu, Yao Xie 4/7/2026

Generative models for decision-making under distributional shift

Tutorial on using flow- and score-based generative models for decision-making under distributional shift in operations research.

Ax Andrew Qing He 4/7/2026

Deep Kuratowski Embedding Neural Networks for Wasserstein Metric Learning

Neural architectures for learning to approximate Wasserstein-2 distances using Kuratowski embedding theorem.

Ax Karthik Suresh, Amine Ben Khalifa, Li Zhang, Wei-ting Hsu, Fangzheng Wu, Vinay More, Asim Kadav 4/7/2026

CPT: Controllable and Editable Design Variations with Language Models

System for generating editable design variations using decoder-only language model with Creative Markup Language representation.

Ax Narim Jeong, Donghwan Lee 4/7/2026

Finite-Time Analysis of Q-Value Iteration for General-Sum Stackelberg Games

Theoretical analysis of Q-value iteration convergence in multi-agent Stackelberg games using control-theoretic perspective.

Ax Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Kosuke Nishida, Kazutoshi Shinoda 4/7/2026

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment

Research on aligning LLMs with human preferences using relative density ratio optimization without assuming specific preference models, improving statistical consistency.

Ax Seoyoung Park, Haemin Lee, Hankook Lee 4/7/2026

Is Prompt Selection Necessary for Task-Free Online Continual Learning?

Study questioning necessity of prompt selection in task-free online continual learning for non-stationary data streams.

Ax Henrik Krauss, Takehisa Yairi 4/7/2026

Estimating Central, Peripheral, and Temporal Visual Contributions to Human Decision Making in Atari Games

Ablation framework to estimate contributions of central, peripheral, and temporal visual information to human decision-making in Atari games.

Ax Prasanjit Dey, Zachary Yahn, Bianca Schoen-Phelan, Soumyabrata Dev 4/7/2026

TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution

TinyNina: edge-AI framework for satellite super-resolution applied to NO2 air quality monitoring with resource constraints.

Ax Fatemeh Khadem, Sajad Mousavi, Yi Fang, Yuhong Liu 4/7/2026

DP-OPD: Differentially Private On-Policy Distillation for Language Models

DP-OPD: differentially private on-policy distillation method for compressing LLMs on sensitive data while maintaining privacy guarantees.

Ax Zhe Feng, Shilong Tao, Haonan Sun, Shaohan Chen, Zhanxing Zhu, Yunhuai Liu 4/7/2026

MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation

MAVEN: mesh-aware volumetric encoding network for simulating 3D flexible deformation using graph neural networks on mesh structures.

Ax Liwei Deng, Qingxiang Liu, Xinhe Niu, Shengchao Chen, Sheng Sun, Yuankai Wu, Guodong Long, Yuxuan Liang 4/7/2026

Discrete Prototypical Memories for Federated Time Series Foundation Models

Discrete Prototypical Memories approach for federated time series foundation models using LLMs while preserving data privacy.

Ax Arjuna Scagnetto 4/7/2026

ECG Biometrics with ArcFace-Inception: External Validation on MIMIC and HEEDB

External validation study on ECG biometrics using Inception-v1 with ArcFace on MIMIC and HEEDB datasets.

Ax Tauhid Khan 4/7/2026

Isokinetic Flow Matching for Pathwise Straightening of Generative Flows

Isokinetic Flow Matching introduces pathwise acceleration regularization to improve few-step sampling in flow-based generative models.

Ax Ziwei Li, Yuang Ma, Yi Kang 4/7/2026

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models

SLaB: sparse-lowrank-binary decomposition framework for efficient LLM compression maintaining performance at high compression ratios.

Ax Qiang He, Yucheng Yang, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy, Setareh Maghsudi 4/7/2026

One Model for All: Multi-Objective Controllable Language Models

Multi-objective controllable language models framework enabling personalized alignment with varying human preferences beyond fixed reward optimization.

Ax Hengshuai Yao, Xing Chen, Ahmed Murtadha, Guan Wang 4/7/2026

GAIN: Multiplicative Modulation for Domain Adaptation

GAIN: multiplicative modulation technique for domain adaptation in LLMs, preventing catastrophic forgetting through feature re-emphasis.

Ax Ole Delzer, Sidney Bender 4/7/2026

Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional non-robustness and how to fix them

Reproducibility study on spurious correlations and shortcut learning in DNNs, comparing frameworks for ensuring models use causally relevant features.

Ax Mark Braverman, Roi Livni, Yishay Mansour, Shay Moran, Kobbi Nissim 4/7/2026

Learning from Equivalence Queries, Revisited

Revisits learning from equivalence queries model for modern ML systems like generative models and recommendation systems with periodic updates.

Ax Donghu Kim, Youngdo Lee, Minho Park, Kinam Kim, I Made Aswin Nahendra, Takuma Seno, Sehee Min, Daniel Palenicek, Florian Vogt, Danica Kragic, Jan Peters, Jaegul Choo, Hojoon Lee 4/7/2026

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control

FlashSAC: off-policy reinforcement learning algorithm for stable, fast robot control in high-dimensional action spaces.

Ax Motoki Nakamura 4/7/2026

Dynamic Free-Rider Detection in Federated Learning via Simulated Attack Patterns

Detection method for free-riders in federated learning via simulated attack patterns, improving the WEF-based approach.

Ax Bohao Li, Tao Zou, Junchen Ye, Yan Gong, Bowen Du 4/7/2026

A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs

Deep learning approach for clinical mortality prediction from incomplete multimodal Electronic Health Records using point cloud paradigm.

Ax Zhuohao Yu, Zhiwei Steven Wu, Adam Block 4/7/2026

From Curiosity to Caution: Mitigating Reward Hacking for Best-of-N with Pessimism

Method to mitigate reward hacking in Best-of-N sampling for language models using pessimism, addressing inference-time compute scaling challenges.

Ax Daniel Bloch 4/7/2026

Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions

Novel Anticipatory Reinforcement Learning framework for non-Markovian decision processes with jump-diffusions and structural breaks, designed for single trajectory learning.

Ax Qing Zhou, Bingxuan Zhao, Tao Yang, Hongyuan Zhang, Junyu Gao, Qi Wang 4/7/2026

Batch Loss Score for Dynamic Data Pruning

Batch Loss Score metric for dynamic data pruning using exponential moving averages, accelerating deep learning training.

Ax Andrei-Alexandru Bunea, Ovidiu Ghibea, Dan-Matei Popovici, Ion Daniel, Octavian Andronic 4/7/2026

Explainable Machine Learning for Sepsis Outcome Prediction Using a Novel Romanian Electronic Health Record Dataset

Explainable ML models for sepsis prediction using Romanian EHR dataset with 12,286 hospitalizations and 600 lab test types.

Ax Seoungsub Lee, In Seo Kim, Seon Wook Kim 4/7/2026

MUXQ: Mixed-to-Uniform Precision MatriX Quantization via Low-Rank Outlier Decomposition

Quantization method for LLMs combining mixed-precision and low-rank decomposition for efficient INT computation on NPU devices.

Ax Asena Karolin \"Ozdemir, Lars H. Heyen, Arvid Weyrauch, Achim Streit, Markus G\"otz, Charlotte Debus 4/7/2026

Sampling Parallelism for Fast and Efficient Bayesian Learning

Sampling parallelism approach for efficient Bayesian neural networks and uncertainty quantification in risk-sensitive applications.

Ax Peter Balogh 4/7/2026

Darkness Visible: Reading the Exception Handler of a Language Model

Mechanistic analysis decomposing GPT-2 Small's final MLP into legible exception handler with 27 named neurons routing decisions.

Ax Justin Chih-Yao Chen, Archiki Prasad, Zaid Khan, Joykirat Singh, Runchu Tian, Elias Stengel-Eskin, Mohit Bansal 4/7/2026

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

Method using task reformulation to enable LLMs to learn from difficult problems via reinforcement learning from verifiable rewards.

Ax Houzhe Wang, Xiaojie Zhu, Chi Chen 4/7/2026

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation

Complete pipeline for federated unlearning with evaluation framework, enabling models to forget deleted data in distributed learning.

Ax Naveen Raman, Stephanie Milani, Fei Fang 4/7/2026

Selecting Decision-Relevant Concepts in Reinforcement Learning

Algorithms for automatic concept selection in interpretable reinforcement learning policies without manual domain expertise.

Ax Amit Kiran Rege 4/7/2026

The Role of Generator Access in Autoregressive Post-Training

Research on how generator access constraints affect autoregressive post-training and learning from rollouts vs prefix queries.

Ax Nick Souligne, Vignesh Subbian 4/7/2026

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models

Python toolkit for intersectional fairness analysis in clinical ML models, addressing compounded disparities beyond single-axis comparisons.

Ax James Hu, Mahdi Ghelichi 4/7/2026

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms

Empirical robustness analysis of TabPFN's attention mechanisms for in-context learning on tabular data, examining noise immunity without retraining.