Ax Danial Monachan, Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Milos Krstic, Michael Huebner, Christian Herglotz 3/24/2026

Mix-and-Match Pruning: Globally Guided Layer-Wise Sparsification of DNNs

Mix-and-Match Pruning globally-guided layer-wise sparsification framework for compressing DNNs with minimal accuracy loss on edge devices.

Ax Zhenxing Yan, Jidong Yuan, Yongqi Sun, Haiyang Liu, Zhihui Gao 3/24/2026

FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing

FastPFRec federated recommendation framework using GNNs with enhanced convergence speed and privacy-preserving secure aggregation.

Ax Songfeng Zhu 3/24/2026

HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting

Knowledge distillation approach mitigating catastrophic forgetting in incremental hyperspectral image classification without storing old samples.

Ax Govinda Kolli, Adinath Madhavrao Dukre, Behzad Bozorgtabar, Dwarikanath Mahapatra, Imran Razzak 3/24/2026

VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs

VGS-Decoding training-free method to reduce hallucinations in medical vision-language models using visual grounding scores during inference.

Ax Shasha Yu, Fiona Carroll, Barry L. Bentley 3/24/2026

The Causal Impact of Tool Affordance on Safety Alignment in LLM Agents

Empirical study of how executable tool access impacts safety alignment in LLM agents. Shows tool affordance increases capability-safety misalignment.

Ax Ernest Fokou\'e, Gregory Babbitt, Yuval Leventhal 3/24/2026

Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning

Demonstrates mathematical isomorphism between ant colony decision-making and random forest ensemble learning under stochastic ensemble intelligence framework.

Ax S. David Mis, Maarten V. de Hoop 3/24/2026

Forward and inverse problems for measure flows in Bayes Hilbert spaces

Mathematical study of forward and inverse problems for time-dependent probability measures in Bayes-Hilbert spaces.

Ax Wooseok Sim, Hogun Park 3/24/2026

Low-pass Personalized Subgraph Federated Recommendation

Federated recommender system addressing subgraph structural imbalance in decentralized training on client-specific user-item graphs.

Ax Muhammad Muneeb, David B. Ascher 3/24/2026

G2DR: A Genotype-First Framework for Genetics-Informed Target Prioritization and Drug Repurposing

G2DR framework for genotype-first therapeutic target and drug discovery using genetic variants and transcriptomics data.

Ax Edoardo Calvello, Elizabeth Carlson, Nikola Kovachki, Michael N. Manta, Andrew M. Stuart 3/24/2026

Operator Learning for Smoothing and Forecasting

Theory for data-driven operator learning methods in smoothing and forecasting of dynamical systems and data assimilation.

Ax Ali Darijani, J\"urgen Beyerer, Zahra Sadat Hajseyed Nasrollah, Luisa Hoffmann, Michael Heizmann 3/24/2026

Comprehensive Description of Uncertainty in Measurement for Representation and Propagation with Scalable Precision

Framework for representing and propagating measurement uncertainty beyond Gaussian assumptions in control and measurement systems.

Ax Dhruv Menon, Vivek Singh, Xu Chen, Mohammad Reza Alizadeh Kiapi, Ivan Zyuzin, Hamish W. Macleod, Nakul Rampal, William Shepard, Omar M. Yaghi, David Fairen-Jimenez 3/24/2026

A chemical language model for reticular materials design

Nexerra-R1 chemical language model for metal-organic framework design. Systematic discovery of materials with targeted properties via LLM.

Ax Abdullahi Isa Ahmed, Ana Maria Dr\u{a}gulinescu, El Mehdi Amhoud 3/24/2026

Hetero-Net: An Energy-Efficient Resource Allocation and 3D Placement in Heterogeneous LoRa Networks via Multi-Agent Optimization

Multi-agent optimization framework for resource allocation in heterogeneous LoRa IoT networks combining ground and underground sensors.

Ax Ata Poyraz Turna, Asrin Efe Yorulmaz, Tamer Ba\c{s}ar 3/24/2026

Meta-Learning for Repeated Bayesian Persuasion

Introduces Meta-Persuasion algorithms applying meta-learning to repeated Bayesian persuasion games with theoretical guarantees.

Ax Simon Ambrozak, Ulysse McConnell, Bhargav Srinivasan, Burak Ozkan, Can Firtina 3/24/2026

CERN: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models

CERN uses Hidden Markov Models to correct raw electrical signals from nanopore DNA sequencing for improved genome assembly.

Ax Erez Badash, Dan Boneh, Ilan Komargodski, Megha Srivastava 3/24/2026

Hawkeye: Reproducing GPU-Level Non-Determinism

Hawkeye system reproduces GPU matrix operations on CPU for verifiable ML without precision loss. Enables reproducible ML inference analysis.

Ax Hannah Berin-Costain, Harry Wang, Kirsten Morris, Jun Liu 3/24/2026

Verifiable Error Bounds for Physics-Informed Neural KKL Observers

Derives computable state-estimation error bounds for physics-informed neural network KKL observers in control systems.

Ax Rounak Saha, Gurusha Juneja, Dayita Chaudhuri, Naveeja Sajeevan, Nihar B Shah, Danish Pruthi 3/24/2026

Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable

Study evaluating detectability of LLM-assisted peer reviews. Tests five detectors on dataset simulating human-AI collaboration levels.

Ax Yalemzerf Getnet, Abiy Tasissa, Waltenegus Dargie 3/24/2026

Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms

Feature attribution method for explaining machine learning decisions in ECG signal analysis with shift-invariant properties.

Ax Joanna Zou, Han Cheng Lie, Youssef Marzouk 3/24/2026

Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables

Goal-oriented learning of surrogate models for stochastic dynamical systems with error bounds on path-dependent observables.

Ax Jerry M. Huang, Lukas Schumacher, Niek Stevenson, Stefan T. Radev 3/24/2026

CogFormer: Learn All Your Models Once

Simulation-based inference framework enabling rapid neural network fitting across varying cognitive modeling assumptions and parameterizations.

Ax Tony Mason 3/24/2026

Epistemic Observability in Language Models

Study finding language models report highest confidence when fabricating, with formal proof this is observational not capability limitation.

Ax Hang-Cheng Dong, Pengcheng Cheng, Shuhuan Li 3/24/2026

Interpretable Operator Learning for Inverse Problems via Adaptive Spectral Filtering: Convergence and Discretization Invariance

SC-Net operator learning framework for regularized inverse problems using spectral filtering with improved interpretability and generalization.

Ax Zhilong Zhang, Haoxiang Ren, Yihao Sun, Yifei Sheng, Haonan Wang, Haoxin Lin, Zhichao Wu, Pierre-Luc Bacon, Yang Yu 3/24/2026

Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models

World model-based reinforcement learning approach for training Vision-Language-Action robotic models without costly real-world interaction.

Ax Kry Yik Chau Lui, Cheng Chi, Kishore Basu, Yanshuai Cao 3/24/2026

LassoFlexNet: Flexible Neural Architecture for Tabular Data

Neural architecture incorporating five inductive biases for improved performance on tabular data compared to tree-based models.

Ax Aratrika Mustafi, Soumya Mukherjee 3/24/2026

Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics

Dense associative memory system for empirical measures using Sinkhorn divergence and spherical Hellinger Kantorovich gradient flows for pattern retrieval.

Ax Jianwei Chen, Zhengyang Miao, Wenjie Cai, Jiaxue Tang, Boxing Liu, Yunfan Zhang, Yuhang Yang, Hao Tang, Carola-Bibiane Sch\"onlieb, Zaixu Cui, Du Lei, Shouliang Qi, Chao Li 3/24/2026

Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration

Framework for integrating structural and functional brain connectomes using hierarchical multiscale learning across nested modular organizations.

Ax Shixiang Liu, Zhifan Li, Hanming Yang, Jianxin Yin 3/24/2026

High-dimensional online learning via asynchronous decomposition: Non-divergent results, dynamic regularization, and beyond

Asynchronous decomposition framework for high-dimensional online learning with dynamic regularization avoiding error bound divergence.

Ax Yong Wang, Qifan Shen, Bao Zhang, Zijun Huang, Chengbo Zhu, Shuai Yao, Qisong Wu 3/24/2026

mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model

mmWave-Diffusion framework using conditional diffusion models for contactless respiration sensing with micromotion interference removal.

Ax Soudeep Ghoshal, Himanshu Buckchash, Sarita Paudel, Rub\'en Ruiz-Torrubiano 3/24/2026

NDT: Non-Differential Transformer and Its Application to Sentiment Analysis

Non-Differential Transformer architecture for improved sentiment analysis in text, inspired by Differential Transformer variants.

Ax Zihao Zheng, Hangyu Cao, Jiayu Chen, Sicheng Tian, Chenyue Li, Maoliang Li, Xinhao Sun, Guojie Luo, Xiang Chen 3/24/2026

RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models

RoboECC edge-cloud collaborative deployment framework for Vision-Language-Action models enabling real-time embodied AI inference.

Ax Zacharie Bugaud 3/24/2026

Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction

Multi-RF Fusion ensemble method achieving top OGB leaderboard rank for molecular property prediction via Random Forests and GNNs.

Ax Kaiyuan Li, Jing-Cheng Pang, Yang Yu 3/24/2026

RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution

Evaluation and solution for improving general QA performance of LLMs trained with reinforcement learning from verifiable rewards.

Ax Enguang Wang, Qiang Wang, Yuanchen Wu, Ke Yan, Xinbin Yuan, Shouhong Ding, Xialei Liu, Ming-Ming Cheng 3/24/2026

Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models

Study of visual representation degradation in MLLMs with predictive regularization technique to preserve visual competence during language training.

Ax Milos Gravara, Juan Luis Herrera, Stefan Nastic 3/24/2026

Compass: Optimizing Compound AI Workflows for Dynamic Adaptation

Compass framework for optimizing compound AI workflows across multiple specialized models with dynamic adaptation under varying loads.

Ax Yujin Park, Haejun Chung, Ikbeom Jang 3/24/2026

Dodgersort: Uncertainty-Aware VLM-Guided Human-in-the-Loop Pairwise Ranking

Dodgersort system for efficient pairwise ranking via CLIP-based pre-ordering, neural ranking, and uncertainty-aware pair selection.

Ax Xiangyu Zeng, Qi Xu, Yunke Wang, Chang Xu 3/24/2026

HiCI: Hierarchical Construction-Integration for Long-Context Attention

HiCI hierarchical attention module for long-context language modeling with segment-level and global context integration.

Ax Siddharth Srivastava, Adam Smith, Scott Brooks, Jack Bacon, Till Bretschneider 3/24/2026

Ensemble of Small Classifiers For Imbalanced White Blood Cell Classification

Lightweight ensemble approach for white blood cell classification addressing class imbalance in medical imaging.

Ax Tianyou Lai, Wentao Yue, Jiayi Zhou, Chaoyuan Hao, Lingke Chang, Qingyu Mao, Zhibo Niu, Qilei Li 3/24/2026

ReLaMix: Residual Latency-Aware Mixing for Delay-Robust Financial Time-Series Forecasting

Time-series forecasting method for financial markets handling delayed/stale observations via residual latency-aware mixing.

Ax Kaustubh D. Dhole, Eugene Agichtein 3/24/2026

RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation

RubricRAG system for interpretable LLM evaluation via domain knowledge retrieval to generate detailed rubrics instead of scalar scores.

Ax Melissa Adrian, Daniel Sanz-Alonso, Rebecca Willett 3/24/2026

Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms

Framework for jointly learning state, dynamics, and filtering algorithm parameters in data assimilation via auto-differentiable filtering.

Ax Tanay Varshney, Annie Surla, Michelle Xu, Gomathy Venkata Krishnan, Maximilian Jeblick, David Austin, Neal Vaidya, Davide Onofrio 3/24/2026

LLM Router: Prefill is All You Need

Router mechanism for LLMs using internal prefill activations and Encoder-Target Decoupling to route queries to best-performing models.

Ax Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Saddam Mukta, Abdulaziz Tabbakh 3/24/2026

Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing

Benchmark study of deep learning model efficiency comparing Conv6, VGG16, and other architectures under computational constraints.

Ax Gregorio Maglione, Veselin Rakocevic, Markus Amend, Touraj Soleymani 3/24/2026

Deep Adaptive Rate Allocation in Volatile Heterogeneous Wireless Networks

Machine learning approach for adaptive rate allocation in 5G+ networks handling rapid wireless link quality fluctuations in mobile environments.

Ax Bert de Vries 3/24/2026

Active Inference for Physical AI Agents -- An Engineering Perspective

Framework applying Active Inference and Free Energy Principle to physical AI agents and robots operating under resource constraints in real-world environments.

Ax Debdeep Pati 3/24/2026

Stability of Sequential and Parallel Coordinate Ascent Variational Inference

Theoretical analysis of coordinate ascent variational inference stability differences in sequential vs parallel variants for high-dimensional linear regression.

Ax Leandro Vignolo, Matias Gerard 3/24/2026

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement

MOELIGA multi-objective evolutionary algorithm for feature selection balancing subset size and classification accuracy.

Ax Bo Jiang 3/24/2026

DiscoUQ: Structured Disagreement Analysis for Uncertainty Quantification in LLM Agent Ensembles

DiscoUQ framework extracts semantic structure from disagreement patterns in multi-agent LLM ensembles for improved uncertainty quantification.

Ax Benedikt Hornig, Reuth Mirsky 3/24/2026

The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

Intelligent Disobedience Game formalizes shared autonomy scenarios where systems must override human instructions for safety using game theory.

Ax Rushikesh Deotale, Adithya Srinivasan, Yuan Tian, Tianyi Zhang, Pavlos Vlachos, Hector Gomez 3/24/2026

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods

ALL-FEM framework fine-tunes LLMs to automatically generate and analyze finite element method code for engineering simulations.