Papers
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The Symmetric Perceptron: a Teacher-Student Scenario
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DC-Reg: Globally Optimal Point Cloud Registration via Tight Bounding with Difference of Convex Programming
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Cross-Model Disagreement as a Label-Free Correctness Signal
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Temporally Decoupled Diffusion Planning for Autonomous Driving
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CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration
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Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis
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Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
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Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
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GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame Grids
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Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models
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Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure
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How Class Ontology and Data Scale Affect Audio Transfer Learning
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Retraining as Approximate Bayesian Inference
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Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs
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Translation Asymmetry in LLMs as a Data Augmentation Factor: A Case Study for 6 Romansh Language Varieties
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Unblur-SLAM: Dense Neural SLAM for Blurry Inputs
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AdaSFormer: Adaptive Serialized Transformers for Monocular Semantic Scene Completion from Indoor Environments
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Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
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EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents
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Knowledge-Guided Failure Prediction: Detecting When Object Detectors Miss Safety-Critical Objects
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An Experimental Comparison of the Most Popular Approaches to Fake News Detection
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RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
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Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification
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Conformal Prediction for Nonparametric Instrumental Regression
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Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case
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NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
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CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild
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Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training
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Synchronous Signal Temporal Logic for Decidable Verification of Cyber-Physical Systems
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BFMD: A Full-Match Badminton Dense Dataset for Dense Shot Captioning
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Insights on back marking for the automated identification of animals
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Humans vs Vision-Language Models: A Unified Measure of Narrative Coherence
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Missing-Aware Multimodal Fusion for Unified Microservice Incident Management
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PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos
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Voxtral TTS
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Towards Comprehensive Real-Time Scene Understanding in Ophthalmic Surgery through Multimodal Image Fusion
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An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Biofuel-Relevant Biomass Production in Saccharomyces cerevisiae
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Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
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GeoHeight-Bench: Towards Height-Aware Multimodal Reasoning in Remote Sensing
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Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL
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TAAC: A gate into Trustable Audio Affective Computing
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Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas
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Cooperative Deep Reinforcement Learning for Fair RIS Allocation
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Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
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The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks
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UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animation
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Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations
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A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation
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Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder
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DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial
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