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.

Ax Shiek Ruksana, Sailesh Kiran Kurra, Thipparthi Sanjay Baradwaj 4/7/2026

Optimizing LLM Prompt Engineering with DSPy Based Declarative Learning

DSPy framework for optimizing LLM prompt engineering through declarative learning instead of manual trial-and-error, improving scalability and reproducibility.

Ax Amit Kiran Rege 4/7/2026

Data Attribution in Adaptive Learning

Formalizes data attribution methods for adaptive learning settings where training data is generated by models themselves, addressing feedback loop in online/RL systems.

Ax Connor Dilgren, Sarah Wiegreffe 4/7/2026

Are Latent Reasoning Models Easily Interpretable?

Investigation into interpretability challenges of latent reasoning models that operate without explicit natural language reasoning, examining two approaches.

Ax Vadim Vashkelis, Natalia Trukhina 4/7/2026

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection

Hierarchical Instance-Conditioned Mixture-of-Experts architecture for object detection using sparse routing at instance level rather than image/patch level.

Ax Xuyang Shen, Zijie Pan, Diego Cerrai, Xinxuan Zhang, Christopher Colorio, Emmanouil N. Anagnostou, Dongjin Song 4/7/2026

Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning

Hierarchical instance-conditioned mixture-of-experts architecture for object detection with sparse parameter activation.

Ax Justin Curry, Alberto Speranzon 4/7/2026

Stratifying Reinforcement Learning with Signal Temporal Logic

Graph neural networks with contrastive learning for predicting power outages from extreme weather events.

Ax Yizhe Li (University of Birmingham, Birmingham, United Kingdom), Shixiao Wang (University of Birmingham, Birmingham, United Kingdom), Jian K. Liu (University of Birmingham, Birmingham, United Kingdom) 4/7/2026

Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding

Novel stratification-based semantics for Signal Temporal Logic with applications to reinforcement learning.

Ax Gallil Maimon, Ori Yoran, Felix Kreuk, Michael Hassid, Gal Cohen, Pierre Chambon, Yossi Adi 4/7/2026

Self-Execution Simulation Improves Coding Models

CNN-attention hybrid model for decoding hand kinematics from EEG in brain-computer interfaces.

Ax Tomek Kaszy\'nski 4/7/2026

Emergent Compositional Communication for Latent World Properties

Training method enabling Code LLMs to simulate program execution step-by-step, improving competitive programming performance.

Ax Kishanthan Kingston, Olivier Boucher, Freddy Bouchet, Pierre Chapel, Rosemary Eade, Jean-Francois Lamarque, Redouane Lguensat, Kazem Ardaneh 4/7/2026

IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales

Multi-agent research showing emergence of compositional communication protocols for representing latent physical properties without explicit supervision.

Ax Geoffroy Keime, Nicolas Cuperlier, Benoit R. Cottereau 4/7/2026

Event-Driven Neuromorphic Vision Enables Energy-Efficient Visual Place Recognition

IPSL-AID: generative diffusion model for climate downscaling from global to regional resolutions.

Ax Md Nahid Hasan, Vishwam Tiwari, Aditya Challa, Vaskar Raychoudhury, Snehanshu Saha 4/7/2026

Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network

SpikeVPR: neuromorphic approach using event-based cameras and spiking neural networks for energy-efficient visual place recognition.

Ax Xinyu Liu, Qing Xu, Zhen Chen 4/7/2026

XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation

Cross-Stage Attention Residuals mechanism for medical image segmentation using selective aggregation of encoder-decoder outputs.

Ax Jinwu Yang, Jiaan Wu, Zedong Liu, Xinyang Ma, Hairui Zhao, Yida Gu, Yuanhong Huang, Xingchen Liu, Wenjing Huang, Zheng Wei, Jing Xing, Yili Ma, Qingyi Zhang, Baoyi An, Zhongzhe Hu, Shaoteng Liu, Xia Zhu, Jiaxun Lu, Guangming Tan, Dingwen Tao 4/7/2026

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs

Lossless compression method for LLMs enabling fast inference on Ascend NPUs, addressing weight data transfer bottleneck.

Ax Andrew Salij, R. Seaton Ullberg, Megan C. Davis, Marc J. Cawkwell, Christopher J. Snyder, Cristina Garcia Cardona, Ivana Matanovic, Wilton J. M. Kort-Kamp 4/7/2026

Generative Chemical Language Models for Energetic Materials Discovery

Generative molecular language models pre-trained on chemical data and fine-tuned for energetic materials discovery.

Ax Karthikeyan Sankaralingam 4/7/2026

Computer Architecture's AlphaZero Moment: Automated Discovery in an Encircled World

Proposes automated discovery approach for computer architecture design using AI, addressing post-Moore's Law era challenges.

Ax Ray Zeyao Chen, Christan Grant 4/7/2026

InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard

TensorBoard plugin for interactive multi-metric visualization and fairness analysis during ML model training.

Ax Damith Chamalke Senadeera, Dimitrios Kollias, Gregory Slabaugh 4/7/2026

CoLoRSMamba: Conditional LoRA-Steered Mamba for Supervised Multimodal Violence Detection

Multimodal violence detection model combining VideoMamba and AudioMamba with conditional LoRA steering.

Ax Matthias Wei{\ss}, Falk Dettinger, Elias Detrois, Nasser Jazdi, Michael Weyrich 4/7/2026

SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions

Causality mining approach for diagnosing connected vehicle system failures in distributed cloud/edge infrastructure.

Ax Kenan Tang, Praveen Arunshankar, Andong Hua, Anthony Yang, Yao Qin 4/7/2026

Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana Pro

Addresses iterative image quality degradation in multi-turn editing with agentic systems using multi-modal models.

Ax Haotian Xiang, Qin Lu, Yaakov Bar-Shalom 4/7/2026

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking

Diffusion policy approach with Bayesian expert selection for active multi-target tracking balancing exploration and exploitation.

Ax Daniele Solombrino, Antonio Andrea Gargiulo, Adrian Robert Minut, Luca Zhou, Alessandro Zirilli, Emanuele Rodol\`a 4/7/2026

Zero-Shot Quantization via Weight-Space Arithmetic

Zero-shot quantization technique using weight-space arithmetic to transfer quantization robustness between models without training data.

Ax Thomas Manuel Rost 4/7/2026

Inference-Path Optimization via Circuit Duplication in Frozen Visual Transformers for Marine Species Classification

Inference optimization method for frozen vision transformers through circuit duplication for marine species classification.

Ax Lamyea Maha, Tajmilur Rahman, Chanchal Roy 4/7/2026

Agile Story-Point Estimation: Is RAG a Better Way to Go?

Study comparing RAG-based approach with traditional methods for Agile story point estimation in sprint planning.

Ax Kenan Tang, Jiasheng Guo, Jeffrey Lin, Yao Qin 4/7/2026

ExpressEdit: Fast Editing of Stylized Facial Expressions with Diffusion Models in Photoshop

Photoshop plugin using diffusion models for AI-assisted facial expression editing in stylized artwork without image degradation.

Ax Prakhar Bansal, Shivangi Agarwal 4/7/2026

Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-Bench

Lightweight query routing classifier for selecting optimal retrieval strategies in RAG pipelines based on query characteristics.

Ax Kevin Debeire, Ayta\c{c} Pa\c{c}al, Pierre Gentine, Luis Medrano-Navarro, Nils Thuerey, Veronika Eyring 4/7/2026

Physics-Constrained Adaptive Flow Matching for Climate Downscaling

Machine learning model with physics constraints for climate downscaling using flow matching architecture.

Ax Utkarsh Singh, Aaron Z. Goldberg, Christoph Simon, Khabat Heshami 4/7/2026

Recurrent Quantum Feature Maps for Reservoir Computing

Quantum computing approach using recurrent quantum circuits as reservoirs for temporal data processing.

Ax Xiaoan Liu, DaeHo Lee, Eric J Gonzalez, Mar Gonzalez-Franco, Ryo Suzuki 4/7/2026

VisionClaw: Always-On AI Agents through Smart Glasses

Wearable AI agent on smart glasses enabling continuous perception and speech-driven task execution with OpenClaw agentic framework.

Ax Maximilian Schuessler, Erik Sverdrup, Robert Tibshirani, Stefan Wager 4/7/2026

Nonparametric Regression Discontinuity Designs with Survival Outcomes

Statistical method for causal inference using regression discontinuity design in healthcare applications with survival outcomes.

Ax Sing Hieng Wong, Hassan Sajjad, A. B. Siddique 4/7/2026

LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering

Method using sparse autoencoders to discover language-specific features from monolingual data for controlling LLM output language without parallel data.

Ax Zihao Wu, Haoming Yang, Juncheng Dong, Vahid Tarokh 4/7/2026

Rethinking Token Prediction: Tree-Structured Diffusion Language Model

Discrete diffusion language model using tree-structured token prediction to reduce parameters and memory in language generation.

Ax Jason Chen, I-Chun Arthur Liu, Gaurav Sukhatme, Daniel Seita 4/7/2026

CRAFT: Video Diffusion for Bimanual Robot Data Generation

Video diffusion transformer framework for synthesizing diverse bimanual robot manipulation demonstrations from limited real data.

Ax Chicago Y. Park, Edward P. Chandler, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov 4/7/2026

Stochastic Generative Plug-and-Play Priors

Framework combining score-based diffusion models as priors in plug-and-play optimization for imaging inverse problems.

Ax Yuqi Zhu, Jintian Zhang, Zhenjie Wan, Yujie Luo, Shuofei Qiao, Zhengke Gui, Da Zheng, Lei Liang, Huajun Chen, Ningyu Zhang 4/7/2026

LightThinker++: From Reasoning Compression to Memory Management

Method for LLMs to dynamically compress intermediate reasoning thoughts into compact representations while maintaining reasoning quality.

Ax Asmaa M. Elwer, Muhammad A. Rushdi, Mahmoud H. Annaby 4/7/2026

Learning Superpixel Ensemble and Hierarchy Graphs for Melanoma Detection

Graph learning approach for melanoma detection in medical images using graph signal processing.

Ax Taibiao Zhao, Xiang Zhang, Mingxuan Sun, Ruyi Ding, Xugui Zhou 4/7/2026

Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems

Framework for injecting bit-flip faults into DNNs used in autonomous driving systems to identify critical failure points.

Ax Ying Yao 4/7/2026

RL-Driven Sustainable Land-Use Allocation for the Lake Malawi Basin

Deep reinforcement learning framework for optimizing land-use allocation in Lake Malawi Basin to maximize ecosystem service value.

Ax Keith Barnatchez, Kevin P. Josey, Rachel C. Nethery, Giovanni Parmigiani 4/7/2026

Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding

Debiased machine learning approach for conformal prediction of counterfactual outcomes under confounding.

Ax Kun He 4/7/2026

On the Efficiency of Sinkhorn-Knopp for Entropically Regularized Optimal Transport

Theoretical analysis of Sinkhorn-Knopp algorithm efficiency for entropically regularized optimal transport.

Ax Hiroaki Aizawa, Yuki Igaue 4/7/2026

R\'enyi Attention Entropy for Patch Pruning

Method using Rényi attention entropy for patch pruning in transformers to reduce quadratic self-attention cost.

Ax Leszek Szczecinski 4/7/2026

New insights into Elo algorithm for practitioners and statisticians

Theoretical analysis reconciling practitioner and statistician perspectives on Elo ranking algorithms.

Ax Andrew Wheeler, Kshitiz Aryal, Maanak Gupta 4/7/2026

Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs

Study on adversarial attacks against transformer-based malware detectors using control flow graphs, examining robustness of RoBERTa models.

Ax Anjun Gao, Feng Wang, Zhenglin Wan, Yueyang Quan, Zhuqing Liu, Minghong Fang 4/7/2026

SecureAFL: Secure Asynchronous Federated Learning

SecureAFL: Asynchronous federated learning framework addressing straggler problem while maintaining security.

Ax Hope McGovern, Caroline Craig, Thomas Lippincott, Hale Sirin 4/7/2026

When Models Know More Than They Say: Probing Analogical Reasoning in LLMs

Study comparing LLM probed representations with performance on narrative analogical reasoning tasks.

Ax Alexander Scheinker, Alexander Plastun, Peter Ostroumov 4/7/2026

PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusion

PhaseFlow4D: Latent diffusion for 4D particle beam reconstruction from sparse 2D projections with physical constraints.

Ax Alberto Alfarano, Eshika Saxena, Emily Wenger, Fran\c{c}ois Charton, Kristin Lauter 4/7/2026

Improving ML Attacks on LWE with Data Repetition and Stepwise Regression

Machine learning attacks on Learning with Errors problem using data repetition and stepwise regression.

Ax Dalal Alharthi, Ivan Roberto Kawaminami Garcia 4/7/2026

Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework

Secure-by-design GenAI framework integrating PromptShield for LLM-based cloud security and forensic analysis.