Ax Felix Embacher, Jonas Uhrig, Marius Cordts, Markus Enzweiler 22d ago

SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving

SearchAD large-scale dataset with 423k frames for rare image retrieval in autonomous driving scenarios across 11 established datasets.

Ax Minh Sao Khue Luu, Evgeniy N. Pavlovskiy, Bair N. Tuchinov 22d ago

Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI

CATMIL method for small brain structure segmentation in MRI using component-adaptive reweighting and lesion-level supervision.

Ax Moein Salimi, Shaygan Adim, Danial Parnian, Nima Alighardashi, Mahdi Jafari Siavoshani, Mohammad Hossein Rohban 22d ago

Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs

First comprehensive survey of abductive reasoning in LLMs, defining taxonomy and exploring inference of plausible explanations from observations.

Ax Soumya Mazumdar, Vineet Kumar Rakesh, Tapas Samanta 22d ago

PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation

PrivFedTalk privacy-aware federated framework for personalized talking-head generation using diffusion models with identity-stable adapters.

Ax Vladimir Zaigrajew, Micha{\l} Piechota, Gaspar Sekula, Przemys{\l}aw Biecek 22d ago

LINE: LLM-based Iterative Neuron Explanations for Vision Models

LINE uses LLMs iteratively to explain individual neuron concepts in vision models without predefined vocabularies, enabling interpretability of neural networks.

Ax Gabriel Dubus, Th\'eau d'Audiffret, Claire Auger, Rapha\"el Cornette, Sylvain Haupert, Innocent Kasekendi, Raymond Katumba, Hugo Magaldi, Lise Pernel, Harold Rugonge, J\'er\^ome Sueur, John Justice Tibesigwa, Sabrina Krief 22d ago

DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park

DeepForestSound multi-species acoustic detector for biodiversity monitoring in African tropical forests using semi-supervised learning pipeline.

Ax Seungjae Moon, Seunghyun Oh, Youngmin Ro 22d ago

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation

Training-free open-vocabulary semantic segmentation using global context awareness with pretrained vision and vision-language models without additional training.

Ax Labani Halder, Payel Sadhukhan, Sarbani Palit 22d ago

TADP-RME: A Trust-Adaptive Differential Privacy Framework for Enhancing Reliability of Data-Driven Systems

Trust-adaptive differential privacy framework for data-driven systems balancing privacy and utility under heterogeneous user trust levels.

Ax Ian W. Kennedy, Nafise Sadat Moosavi 22d ago

Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization

Method for 2-bit LLM quantization via optimal codebook initialization, enabling extreme compression for edge deployment with O(1) lookup dequantization.

Ax Junjie Fei, Jun Chen, Zechun Liu, Yunyang Xiong, Chong Zhou, Wei Wen, Junlin Han, Mingchen Zhuge, Saksham Suri, Qi Qian, Shuming Liu, Lemeng Wu, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Chenchen Zhu 22d ago

Small Vision-Language Models are Smart Compressors for Long Video Understanding

Tempo framework compresses long videos for multimodal LLMs by query-aware selection of frames, addressing context limits and lost-in-middle problems.

Ax Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee, Pravat Dash 22d ago

QARIMA: A Quantum Approach To Classical Time Series Analysis

Quantum-inspired ARIMA methodology for time series analysis using variational quantum circuits and swap-test-driven autocorrelation.

Ax Aasim Bin Saleem, Amr Ahmed, Ardhendu Behera, Hafeezullah Amin, Iman Yi Liao, Mahmoud Khattab, Pan Jia Wern, Haslina Makmur 22d ago

HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology

Diffusion model for virtual staining in histopathology that preserves cellular structures while translating immunohistochemistry images.

Ax Xun Zhu, Fanbin Mo, Xi Chen, Kaili Zheng, Shaoshuai Yang, Yiming Shi, Jian Gao, Miao Li, Ji Wu 22d ago

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification

Study showing medical multimodal LLMs underperform traditional deep learning on image classification despite pretraining advantages.

Ax Andi Gu, J. Pablo Bonilla Ataides, Mikhail D. Lukin, Susanne F. Yelin 22d ago

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation

Convolutional neural decoders for quantum error correction to accelerate decoding of quantum low-density parity-check codes.

Ax Piotr Nieciecki, Aleksander Plocharski, Przemyslaw Musialski 22d ago

What a Comfortable World: Ergonomic Principles Guided Apartment Layout Generation

Transformer-based floor plan generation using differentiable architectural loss functions to optimize room layouts beyond training data patterns.

Ax Tristan Thrush, Sung Min Park, Herman Brunborg, Luke Bailey, Marcel Roed, Neil Band, Christopher Potts, Tatsunori Hashimoto 22d ago

Synthetic Data for any Differentiable Target

RL primitive (Dataset Policy Gradient) optimizing synthetic data generators to produce targeted training examples for fine-tuning LLMs on differentiable metrics.

Ax Lorenzo Capelli, Leandro de Souza Rosa, Maurizio De Tommasi, Livia Manovi, Andriy Enttsel, Mauro Mangia, Riccardo Rovatti, Ilaria Pinci, Carlo Ciancarelli, Eleonora Mariotti, Gianluca Furano 22d ago

On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities

Explainable AI framework for onboard satellite fault detection with semantically annotated encodings for neural anomaly detectors.

Ax Ashima Suvarna, Kendrick Phan, Mehrab Beikzadeh, Hritik Bansal, Saadia Gabriel 22d ago

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions

RL framework extending verifiable-reward training to general reasoning tasks in LLMs using natural instruction data for causal and temporal understanding.

Ax Runpeng Geng, Chenlong Yin, Yanting Wang, Ying Chen, Jinyuan Jia 22d ago

PIArena: A Platform for Prompt Injection Evaluation

Unified evaluation platform for prompt injection attacks and defenses, addressing benchmark gaps in comparing robustness across diverse tasks.

Ax Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou 22d ago

Differentially Private Language Generation and Identification in the Limit

Study of language generation under differential privacy constraints, proving privacy can be achieved without qualitative cost for countable language collections.

Ax Feng Luo, Yu-Neng Chuang, Guanchu Wang, Zicheng Xu, Xiaotian Han, Tianyi Zhang, Vladimir Braverman 22d ago

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models

Analysis of on-policy distillation failure modes in LLM training, identifying length inflation and truncation collapse as destabilizing factors.

Ax Insaf Ashrapov 22d ago

Tabular GANs for uneven distribution

Survey of tabular data generation comparing GANs, diffusion models, and LLMs across sample quality, privacy, and controllability dimensions.

Ax Young-Jin Park, Cesar Almecija, Apoorva Sharma, Navid Azizan 22d ago

Tractable Uncertainty-Aware Meta-Learning

Meta-learning approach with uncertainty quantification for limited-data task learning, addressing out-of-distribution scenarios in safety-critical settings.

Ax Eduardo C. Garrido-Merch\'an, \'Alvaro L\'opez L\'opez 22d ago

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Comprehensive survey of generative AI covering large language models, architectures, deployment protocols, and real-world applications as of early 2026.

Ax Minghui Qiu, Jun Chen, Lin Chen, Shuxin Zhong, Yandao Huang, Lu Wang, Kaishun Wu 22d ago

CODA: A Continuous Online Evolve Framework for Deploying HAR Sensing Systems

Continuous online learning framework for activity recognition systems addressing model drift and domain shift in long-term deployments.

Ax Behrooz Razeghi, Parsa Rahimi, S\'ebastien Marcel 22d ago

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition

Privacy-preserving face recognition using information-theoretic Privacy Funnel model with end-to-end trainable representation learning.

Ax Yaobin Ling, Xiaoqian Jiang, Yejin Kim 22d ago

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data

Multi-agent LLM framework acting as generative adversarial network for synthesizing tabular data in low-data regimes, targeting healthcare applications.

Ax Zhengyuan Jiang, Xingyu Lyu, Shanghao Shi, Yang Xiao, Yimin Chen, Y. Thomas Hou, Wenjing Lou, Ning Wanga 22d ago

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning

Federated learning security method detecting backdoor attacks using data distribution inference to filter poisoned model updates.

Ax Yuqin Yang, Mohamed Nafea, Negar Kiyavash, Kun Zhang, AmirEmad Ghassami 22d ago

Causal Discovery in Linear Models with Unobserved Variables and Measurement Error

Causal structure learning method for linear systems (LV-SEM-ME) addressing unobserved variables and measurement error simultaneously.

Ax Zihao Zhao, Yuchen Yang, Anjalie Field, Yinzhi Cao 22d ago

AdaProb: Efficient Machine Unlearning via Adaptive Probability

AdaProb: efficient machine unlearning method using adaptive probability to remove specific data with reduced computational overhead.

Ax Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet 22d ago

RiTTA: Modeling Event Relations in Text-to-Audio Generation

RiTTA: text-to-audio generation model that improves modeling of event relations and temporal dynamics in audio synthesis.

Ax Haoyang Li, Yuming Xu, Alexander Zhou, Yongqi Zhang, Jason Chen Zhang, Lei Chen, Qing Li 22d ago

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks

OpenGLT: comprehensive benchmark for evaluating graph neural networks on graph-level tasks across multiple domains.

Ax Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel 22d ago

Orthogonal Representation Learning for Estimating Causal Quantities

Orthogonal representation learning method for estimating causal quantities from high-dimensional observational data with theoretical guarantees.

Ax Xuyang Li, Romit Maulik 22d ago

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning

SALSA-RL: stability analysis framework for deep reinforcement learning agents to assess safe behavior in continuous action spaces.

Ax Akash Dhasade, Rachid Guerraoui, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos 22d ago

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing

Federated search mechanism for retrieval-augmented generation across distributed knowledge sources to reduce LLM hallucinations.

Ax Yihong Huang, Chen Chu, Fan Zhang, Liping Wang Fei Chen, Yu Lin, Ruiduan Li, Zhihao Li 22d ago

ShuffleGate: A Unified Gating Mechanism for Feature Selection, Model Compression, and Importance Estimation

ShuffleGate: unified gating mechanism for feature selection, model compression, and importance estimation in recommender systems.

Ax Ruwen Fulek, Markus Lange-Hegermann 22d ago

Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme

AEQ-RVAE-ST: recurrent variational autoencoder with progressive training for quasi-periodic time series generation.

Ax Mohamed Djilani, Thibault Simonetto, Karim Tit, Florian Tambon, Salah Ghamizi, Maxime Cordy, Mike Papadakis 22d ago

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses

Study of adversarial robustness in tabular foundation models like TabPFN and TabICL, examining test-time attacks and in-context defenses.

Ax Jacob Piland, Chris Sweet, Adam Czajka 22d ago

DiffGradCAM: A Class Activation Map Using the Full Model Decision to Solve Unaddressed Adversarial Attacks

DiffGradCAM improves class activation maps for CNNs by addressing adversarial vulnerabilities in gradient-based explanation methods.

Ax Hao Gu, Lujun Li, Hao Wang, Lei Wang, Zheyu Wang, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Sirui Han, Yike Guo 22d ago

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook

BTC-LLM: sub-1-bit quantization framework for LLMs using learnable transformations and binary codebooks for extreme compression.

Ax Alvaro Almeida Gomez 22d ago

A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations

Data-driven interpolation method for functions on smooth manifolds using Laplace-Beltrami operators and Voronoi tessellations with diffusion processes.

Ax Muhammad Awais Ali, Marlon Dumas, Fredrik Milani 22d ago

How Will My Business Process Unfold? Predicting Case Suffixes With Start and End Timestamps

Predicts case suffix in business processes with start/end timestamps for resource capacity planning using sequence models.

Ax Alejandro Almod\'ovar, Patricia A. Apell\'aniz, Alba Garrido, Fernando Fern\'andez-Salvador, Santiago Zazo, Juan Parras 22d ago

Interpretable Clinical Classification with Kolmogorov-Arnold Networks

Investigates Kolmogorov-Arnold Networks as interpretable alternatives to black-box models for clinical tabular data classification.

Ax Simon Pedro Galeano Munoz, Mustapha Bounoua, Giulio Franzese, Pietro Michiardi, Maurizio Filippone 22d ago

TENDE: Transfer Entropy Neural Diffusion Estimation

Neural diffusion method for estimating transfer entropy in time series addressing curse of dimensionality and convergence issues.

Ax Guanjie Cheng, Siyang Liu, Xinkui Zhao, Yishan Chen, Junqin Huang, Linghe Kong, Shiguang Deng 22d ago

ALPINE: Closed-Loop Adaptive Privacy Budget Allocation for Mobile Edge Crowdsensing

Adaptive privacy budget allocation framework for mobile edge crowdsensing balancing privacy, utility, and device overhead.

Ax Ayrat Abdullin, Denis Anikiev, Umair Bin Waheed 22d ago

Explainable AI for microseismic event detection

Applies XAI techniques (Grad-CAM, SHAP) to interpret PhaseNet deep neural network for microseismic event detection.

Ax Nadav Dym, Matthias Wellershoff, Efstratios Tsoukanis, Daniel Levy, Radu Balan 22d ago

Quantitative Bounds for Sorting-Based Permutation-Invariant Embeddings

Quantitative bounds analysis for permutation-invariant embeddings using sorting-based projections relevant to graph deep learning.

Ax Hangshuo Tian 22d ago

On the Interaction Between Chicken Swarm Rejuvenation and KLD-Adaptive Sampling in Particle Filters

Theoretical analysis of interactions between chicken swarm optimization-based particle rejuvenation and KLD-adaptive sampling in particle filters.

Ax Shanchuan Lin, Ceyuan Yang, Zhijie Lin, Hao Chen, Haoqi Fan 22d ago

Adversarial Flow Models

Generative model combining adversarial and flow-based families with native one-step/multi-step generation trained via adversarial objective.

Ax Colin Doumont, Donney Fan, Natalie Maus, Jacob R. Gardner, Henry Moss, Geoff Pleiss 22d ago

We Still Don't Understand High-Dimensional Bayesian Optimization

Research on high-dimensional Bayesian optimization showing simple Bayesian linear regression outperforms complex BO methods after geometric transformation.