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From Pixels to Privacy: Temporally Consistent Video Anonymization via Token Pruning for Privacy Preserving Action Recognition
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Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
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HINT: Composed Image Retrieval with Dual-path Compositional Contextualized Network
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A Power-Weighted Noncentral Complex Gaussian Distribution
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Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification
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Generative Score Inference for Multimodal Data
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DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI
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Only Whats Necessary: Pareto Optimal Data Minimization for Privacy Preserving Video Anomaly Detection
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From Pen to Pixel: Translating Hand-Drawn Plots into Graphical APIs via a Novel Benchmark and Efficient Adapter
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MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model
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Automated near-term quantum algorithm discovery for molecular ground states
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HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models
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A Formal Framework for Uncertainty Analysis of Text Generation with Large Language Models
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Dynamic Token Compression for Efficient Video Understanding through Reinforcement Learning
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Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
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Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers
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Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration
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Maintaining Difficulty: A Margin Scheduler for Triplet Loss in Siamese Networks Training
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Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
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SHANDS: A Multi-View Dataset and Benchmark for Surgical Hand-Gesture and Error Recognition Toward Medical Training
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Word Alignment-Based Evaluation of Uniform Meaning Representations
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AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection
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Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models
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KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
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Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation
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A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysis
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CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities
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Analysing Calls to Order in German Parliamentary Debates
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Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
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Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models
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Interpretable long-term traffic modelling on national road networks using theory-informed deep learning
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Image-based Quantification of Postural Deviations on Patients with Cervical Dystonia: A Machine Learning Approach Using Synthetic Training Data
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Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
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ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims
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Fair Data Pre-Processing with Imperfect Attribute Space
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Can AI Models Direct Each Other? Organizational Structure as a Probe into Training Limitations
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Neuro-Symbolic Process Anomaly Detection
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Automatic feature identification in least-squares policy iteration using the Koopman operator framework
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A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification
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HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoders
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UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models
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Foundation Model for Cardiac Time Series via Masked Latent Attention
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Shapley meets Rawls: an integrated framework for measuring and explaining unfairness
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SparseCam4D: Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras
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SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition
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EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Medical Inference
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ClipTTT: CLIP-Guided Test-Time Training Helps LVLMs See Better
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Conditional Neural Bayes Ratio Estimation for Experimental Design Optimisation
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Entanglement as Memory: Mechanistic Interpretability of Quantum Language Models
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Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference
