Ax Burc Gokden 3/26/2026

PLDR-LLMs Reason At Self-Organized Criticality

Analysis of LLM reasoning behavior at self-organized criticality using phase transition characteristics.

Ax Ran Greidi, Kobi Cohen 3/26/2026

DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction

Deep learning framework for OFDM waveform modulation to reduce peak-to-average power ratio.

Ax Yuan-Hao Wei, Yan-Jie Sun 3/26/2026

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA

Variational autoencoder with per-dimension Gaussian mixture priors for nonlinear independent component analysis.

Ax Benchong Li 3/26/2026

Labeled Compression Schemes for Concept Classes of Finite Functions

Theoretical resolution of sample compression conjecture for finite function concept classes.

Ax Hyunwoo Kim, Munyoung Lee, Seung Hyub Jeon, Kyu Sung Lee 3/26/2026

Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM

Time-LLM applied to wafer-level spatial profiling for plasma etching process monitoring.

Ax Josef Hanke (Yusuf Hamied Department of Chemistry, University of Cambridge, UK), Sebastian Pujalte Ojeda (Yusuf Hamied Department of Chemistry, University of Cambridge, UK), Shengyu Zhang (Yusuf Hamied Department of Chemistry, University of Cambridge, UK), Werngard Czechtizky (Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R and D, AstraZeneca, Sweden), Leonardo De Maria (Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R and D, AstraZeneca, Sweden), Michele Vendruscolo (Yusuf Hamied Department of Chemistry, University of Cambridge, UK) 3/26/2026

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings

ZeroFold: Pre-trained embedding method for protein-RNA binding affinity prediction accounting for RNA structural flexibility.

Ax Steven Cho, Stefano Ruberto, Valerio Terragni 3/26/2026

LLMORPH: Automated Metamorphic Testing of Large Language Models

LLMORPH: Automated metamorphic testing tool for LLMs using metamorphic relations to verify correctness without labeled test data.

Ax Pranay Tummalapalli, Sahil Arayakandy, Ritam Pal, Kautuk Kundan 3/26/2026

LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load

Benchmark of Qwen 2.5 1.5B quantized LLM inference across mobile, NPU, and GPU platforms measuring throughput and efficiency trade-offs.

Ax Federico Carrara, Talley Lambert, Mehdi Seifi, Florian Jug 3/26/2026

{\lambda}Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy

Self-supervised spectral unmixing method for fluorescence microscopy using data-driven approach to recover fluorophore concentrations.

Ax Mohammad Saleh Vahdatpour, Yanqing Zhang 3/26/2026

Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models

Comprehensive review of energy-efficient software-hardware codesign for ML from TinyML to LLMs, addressing memory and data movement bottlenecks.

Ax Jannik Endres, Etienne Lalibert\'e, David Rolnick, Arthur Ouaknine 3/26/2026

Estimating Individual Tree Height and Species from UAV Imagery

BIRCH-Trees benchmark for individual tree height and species estimation from UAV RGB imagery for forest biomass assessment.

Ax Armin Catovic 3/26/2026

The Economics of Builder Saturation in Digital Markets

Economic analysis of builder saturation effect in digital markets with near-zero marginal costs and free entry.

Ax Igor Jankowski 3/26/2026

Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL

Dual-gated approach for autonomous compute modulation in asynchronous multi-agent reinforcement learning on edge devices.

Ax Jakob Kienegger, Timo Gerkmann 3/26/2026

Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers

Deep spatially selective filters with Bayesian tracking for real-time speech enhancement in dynamic speaker scenarios.

Ax Tristan Luca Saidi, Gonzalo Mena, Larry Wasserman, Florian Gunsilius 3/26/2026

Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems

Wasserstein geometry method for predicting dynamics of probability distributions over time in causal inference.

Ax Ali Akram 3/26/2026

Retinal Disease Classification from Fundus Images using CNN Transfer Learning

CNN transfer learning pipeline for retinal disease classification from fundus photographs with baseline comparisons.

Ax Philipp Wesp, Robbie Holland, Vasiliki Sideri-Lampretsa, Sergios Gatidis 3/26/2026

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Using sparse autoencoders to replace opaque vision foundation model representations with human-interpretable features for medical imaging.

Ax Abhishek Paudel, Abhish Khanal, Raihan I. Arnob, Shahriar Hossain, Gregory J. Stein 3/26/2026

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection

LLM-informed planning framework for object search in partially-known environments using LLM probability estimates and prompt selection.

Ax Joshua Rozner, Cory Shain 3/26/2026

Perturbation: A simple and efficient adversarial tracer for representation learning in language models

Perturbation-based method to trace and analyze linguistic representations in deep language models without imposing linearity constraints.

Ax Ao Ding, Hongzong Li, Zi Liang, Zhanpeng Shi, Shuxin Zhuang, Shiqin Tang, Rong Feng, Ping Lu 3/26/2026

How Vulnerable Are Edge LLMs?

Security analysis of quantized edge-deployed LLMs showing knowledge extraction attacks remain effective despite quantization noise.

Ax Sattwik Ghosal, Xuran Meng, Yi Li 3/26/2026

Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models

Theoretical analysis of deep neural network estimators for Cox proportional hazards models with asymptotic distribution theory.

Ax Forest Agostinelli 3/26/2026

The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search

DeepXube: Open-source Python package combining deep reinforcement learning and heuristic search to automate pathfinding problem solving.

Ax Rohan Kumar, Jason Li, Zongshun Zhang, Syed Mohammad Qasim, Gianluca Stringhini, Ayse Kivilcim Coskun 3/26/2026

Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

Praxium: AI-based system for diagnosing microservice anomalies in cloud applications using telemetry and dependency analysis.

Ax Guoliang Zhao, Ruobing Xie, An Wang, Shuaipeng Li, Huaibing Xie, Xingwu Sun 3/26/2026

Self-Distillation for Multi-Token Prediction

MTP-D: Self-distillation method to improve multi-token prediction in LLMs, addressing acceptance rates and joint training challenges for faster inference.

Ax Fatih Ilhan, Gaowen Liu, Ramana Rao Kompella, Selim Furkan Tekin, Tiansheng Huang, Zachary Yahn, Yichang Xu, Ling Liu 3/26/2026

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding

AttentionPack optimizes vision-language model inference with memory-efficient decoding for long sequences.

Ax Seong-Eun Hong, JuYeong Hwang, RyunHa Lee, HyeongYeop Kang 3/26/2026

ORACLE: Orchestrate NPC Daily Activities using Contrastive Learning with Transformer-CVAE

ORACLE orchestrates NPC daily activities in digital environments using contrastive learning with Transformer-CVAE.

Ax Zongliang Ji, Ziyang Zhang, Xincheng Tan, Matthew Thompson, Anna Goldenberg, Carl Yang, Rahul G. Krishnan, Fan Zhang 3/26/2026

Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development

LLM-based ambient assistant for evidence-based medical guidelines that surfaces targeted questions during physician consultations.

Ax Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Svetha Venkatesh 3/26/2026

ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities

ChargeFlow uses flow-matching to refine charge-conditioned electron densities for computational chemistry applications.

Ax Lingjiao Chen, Chi Zhang, Yeye He, Ion Stoica, Matei Zaharia, James Zou 3/26/2026

The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More

Systematic study reveals pricing reversal phenomenon where cheaper reasoning LLMs often cost more in practice across diverse tasks.

Ax Shi-Yuan Ma, J\'er\'emie Laydevant, Mandar M. Sohoni, Logan G. Wright, Tianyu Wang, Peter L. McMahon 3/26/2026

Machine vision with small numbers of detected photons per inference

End-to-end optimized machine vision system for low-light scenarios with minimal detected photons per inference.

Ax Zekun Qian, Wei Feng, Ruize Han, Junhui Hou 3/26/2026

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

COVTrack++ enables multi-object tracking for open-vocabulary categories including unseen objects using continuous video data.

Ax Zhiyao Tan, Liu Li, Huazhen Lin 3/26/2026

Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

DeepIn framework for self-interpretable neural networks that identifies minimal representations needed for DNN expressiveness.

Ax Aditya Narendra, Mukhammadrizo Maribjonov, Dmitry Makarov, Dmitry Yudin, Aleksandr Panov 3/26/2026

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

KG-M3PO framework combines knowledge graphs, vision, and reinforcement learning for multi-task robotic manipulation with online 3D scene graphs.

Ax Aymen Bouferroum (FUN), Valeria Loscri (FUN), Abderrahim Benslimane (LIA) 3/26/2026

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

ML-based multi-layer security framework for Industrial IoT addressing resource constraints and threats across network layers.

Ax Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel 3/26/2026

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

MedAidDialog multilingual multi-turn medical dialogue dataset for conversational AI in healthcare with improved realism over template-based systems.

Ax Zhanhe Lei, Zhongyuan Wang, Jikang Cheng, Baojin Huang, Yuhong Yang, Zhen Han, Chao Liang, Dengpan Ye 3/26/2026

Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection

TSRL framework uses reinforcement learning to dynamically optimize training curriculum for deepfake detection, modeling training as an MDP.

Ax Rami Luisto 3/26/2026

A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings

Visual study of UMAP projections examining geometric patterns in embedding difference vectors of antonym and synonym word pairs.

Ax Oussama Draissi, Mark G\"unzel, Ahmad-Reza Sadeghi, Lucas Davi 3/26/2026

Walma: Learning to See Memory Corruption in WebAssembly

Walma framework detects memory corruption in WebAssembly using machine learning-based attestation without invasive instrumentation.

Ax Jucai Zhai, Muhammad Abdullah, Boyang Chen, Fazal Chaudry, Paul N. Smith, Claire E. Heaney, Yanghua Wang, Jiansheng Xiang, Christopher C. Pain 3/26/2026

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

Applies quantum convolutional neural networks to solve partial differential equations on quantum simulators for scientific computing applications.

Ax Minjun Kim, Minje Kim 3/26/2026

HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer

HEART-PFL framework for personalized federated learning using hierarchical directional alignment and adversarial knowledge transfer to handle data heterogeneity.

Ax Liren Yu, Caiyuan Li, Feiyi Dong, Tao Zhang, Zhixuan Zhang, Dan Ou, Haihong Tang, Bo Zheng 3/26/2026

UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking

UniScale explores synergistic data and model scaling for search ranking, demonstrating that joint architectural and data design improvements outperform model scaling alone.

Ax Jingzhi Fang, Xiong Gao, Renwei Zhang, Zichun Ye, Lei Chen, Jie Zhao, Chengnuo Huang, Hui Xu, Xuefeng Jin 3/26/2026

DVM: Real-Time Kernel Generation for Dynamic AI Models

DVM enables real-time kernel generation for dynamic AI models, addressing compilation overhead and memory footprint issues in runtime compilation.

Ax Guihlerme Daubt, Adrian Redder 3/26/2026

C-STEP: Continuous Space-Time Empowerment for Physics-informed Safe Reinforcement Learning of Mobile Agents

C-STEP introduces physics-informed safety measures for reinforcement learning in robotics, using intrinsic rewards for safe navigation in continuous domains.

Ax Bowen Lu, Liangqiang Yang, Teng Li 3/26/2026

CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization

CGRL framework addresses poor generalization of GNNs on out-of-distribution data using causal-guided representation learning to avoid spurious correlations.

Ax Fatemeh Fazel Hesar, Mojtaba Raouf, Amirmohammad Chegeni, Peyman Soltani, Bernard Foing, Elias Chatzitheodoridis, Michiel J. A. de Dood, Fons J. Verbeek 3/26/2026

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning

Uses hyperspectral imaging and supervised machine learning to map lunar meteorite composition and generate mineralogical maps.

Ax Adidev Jhunjhunwala, Judah Goldfeder, Hod Lipson 3/26/2026

Evidence of an Emergent "Self" in Continual Robot Learning

Proposes method to quantify self-awareness in intelligent systems by identifying invariant cognitive processes that change slower than acquired skills.

Ax Mohammadreza Jamalifard, Yaxiong Lei, Parasto Azizinezhad, Javier Fumanal-Idocin, Javier Andreu-Perez 3/26/2026

A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection

Neuro-symbolic system using attention-based encoders and differentiable reasoning rules to detect human fatigue from eye-tracking and fNIRS signals.

Ax Javier Duran Micco, Bilge Atasoy 3/26/2026

Adaptive decision-making for stochastic service network design

Two-stage optimization approach for logistics service network design combining metaheuristics, simulation, and machine learning for freight transport.

Ax Gengyu Xue, Yi Yu 3/26/2026

Federated fairness-aware classification under differential privacy

Investigates joint effects of differential privacy and fairness constraints on federated classification systems across distributed servers.

Ax Bj{\o}rnar Vass{\o}y, Benjamin Kille, Helge Langseth 3/26/2026

Exploring How Fair Model Representations Relate to Fair Recommendations

Studies relationship between fair model representations and fair recommendations in recommender systems, examining demographic attribute classification.