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Geometrically Constrained Outlier Synthesis
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Meta-RL with Shared Representations Enables Fast Adaptation in Energy Systems
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Human-Aware Robot Behaviour in Self-Driving Labs
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SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding
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IronEngine: Towards General AI Assistant
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Grow, Assess, Compress: Adaptive Backbone Scaling for Memory-Efficient Class Incremental Learning
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One Model Is Enough: Native Retrieval Embeddings from LLM Agent Hidden States
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Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
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Can Vision-Language Models Solve the Shell Game?
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Alfa: Attentive Low-Rank Filter Adaptation for Structure-Aware Cross-Domain Personalized Gaze Estimation
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Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling
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A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic
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A Dataset for Probing Translationese Preferences in English-to-Swedish Translation
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LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
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The Boiling Frog Threshold: Criticality and Blindness in World Model-Based Anomaly Detection Under Gradual Drift
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Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking
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Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data
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Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck
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Evolving Symbiosis, from Barricelli's Legacy to Collective Intelligence: a simulated and conceptual approach
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MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
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Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning
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R2F: Repurposing Ray Frontiers for LLM-free Object Navigation
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STRIDE: Structured Lagrangian and Stochastic Residual Dynamics via Flow Matching
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Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
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X-AVDT: Audio-Visual Cross-Attention for Robust Deepfake Detection
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Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images
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NN-OpInf: an operator inference approach using structure-preserving composable neural networks
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Global Cross-Modal Geo-Localization: A Million-Scale Dataset and a Physical Consistency Learning Framework
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Pareto-Optimal Anytime Algorithms via Bayesian Racing
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First-Order Geometry, Spectral Compression, and Structural Compatibility under Bounded Computation
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Efficient Credal Prediction through Decalibration
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Reading $\neq$ Seeing: Diagnosing and Closing the Typography Gap in Vision-Language Models
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All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference
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Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices
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Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
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Spherical-GOF: Geometry-Aware Panoramic Gaussian Opacity Fields for 3D Scene Reconstruction
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Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos
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Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
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Beyond Hungarian: Match-Free Supervision for End-to-End Object Detection
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Breaking the Bias Barrier in Concave Multi-Objective Reinforcement LearningPurdue University
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OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye CamerasHunan University, Zhejiang University
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BuildMamba: A Visual State-Space Based Model for Multi-Task Building Segmentation and Height Estimation from Satellite Images
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Towards Effective and Efficient Graph Alignment without SupervisionBeijing Jiaotong University, Peking University
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SecAgent: Efficient Mobile GUI Agent with Semantic Context
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SWIFT: Sliding Window Reconstruction for Few-Shot Training-Free Generated Video AttributionHefei University of Technology, University of Science and Technology of China
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PCFEx: Point Cloud Feature Extraction for Graph Neural NetworksKeio University
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The Neural Compass: Probabilistic Relative Feature Fields for Robotic SearchUniversity of Freiburg
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Interactive World Simulator for Robot Policy Training and Evaluation
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mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point CloudKeio University
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Generative Adversarial Regression (GAR): Learning Conditional Risk ScenariosTelfer School of Management, University of Ottawa
