Papers
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Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics
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A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
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Hessian-informed machine learning interatomic potential towards bridging theory and experiments
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Supercharging Federated Intelligence Retrieval
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Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
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Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo
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CLIP-RD: Relational Distillation for Efficient CLIP Knowledge Distillation
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GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
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Multimodal Dataset Distillation via Phased Teacher Models
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FSGNet: A Frequency-Aware and Semantic Guidance Network for Infrared Small Target Detection
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A Causal Framework for Evaluating ICU Discharge Strategies
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PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders
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LaMP: Learning Vision-Language-Action Policies with 3D Scene Flow as Latent Motion Prior
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Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models
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System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games
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HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models
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SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
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Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
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Decidable By Construction: Design-Time Verification for Trustworthy AI
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Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation
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TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical Reasoning
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VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agents
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Navigating the Prompt Space: Improving LLM Classification of Social Science Texts Through Prompt Engineering
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From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild
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Challenges and opportunities for AI to help deliver fusion energy
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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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