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Enhancing SHAP Explainability for Diagnostic and Prognostic ML Models in Alzheimer Disease
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Learning Where the Physics Is: Probabilistic Adaptive Sampling for Stiff PDEs
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FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
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The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI
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Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
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3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
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DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models
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Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
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Continual Adaptation for Pacific Indigenous Speech Recognition
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Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
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WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
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Gradient-based Nested Co-Design of Aerodynamic Shape and Control for Winged Robots
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From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty
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P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning
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The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
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Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets
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Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
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Metalearning traffic assignment for network disruptions with graph convolutional neural networks
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Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions
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WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
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SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
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AI End-to-End Radiation Treatment Planning Under One Second
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K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging
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Transparent AI for Mathematics: Transformer-Based Large Language Models for Mathematical Entity Relationship Extraction with XAI
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MoEless: Efficient MoE LLM Serving via Serverless Computing
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Dynamic Chunking Diffusion Transformer
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Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics
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LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents
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Tiny, Hardware-Independent, Compression-based Classification
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CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
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Computer vision-based estimation of invertebrate biomass
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HiDE: Hierarchical Dictionary-Based Entropy Modeling for Learned Image Compression
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ESAA-Security: An Event-Sourced, Verifiable Architecture for Agent-Assisted Security Audits of AI-Generated Code
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OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysis
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Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
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Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation
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Failure Detection in Chemical Processes using Symbolic Machine Learning: A Case Study on Ethylene Oxidation
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MoEMambaMIL: Structure-Aware Selective State Space Modeling for Whole-Slide Image Analysis
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Kinetic-based regularization: Learning spatial derivatives and PDE applications
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CHMv2: Improvements in Global Canopy Height Mapping using DINOv3
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Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation
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REACT++: Efficient Cross-Attention for Real-Time Scene Graph Generation
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Solving Jigsaw Puzzles in the Wild: Human-Guided Reconstruction of Cultural Heritage Fragments
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Talk Freely, Execute Strictly: Schema-Gated Agentic AI for Flexible and Reproducible Scientific Workflows
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Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
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DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning
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U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
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Adapter-Augmented Bandits for Online Multi-Constrained Multi-Modal Inference Scheduling
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Locating and Editing Figure-Ground Organization in Vision Transformers
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Physical Simulator In-the-Loop Video Generation
