Generative Nested Sampling of Atomistic Thermodynamic Landscapes
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Shallow neural network approximation in mixed Sobolev spaces
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Continual Learning without Continual Training
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RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
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HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility Forecasting
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Average-Reward Reinforcement Learning for Multichain MDPs: A Hierarchical Decomposition Approach
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AutoAdapt: Automatic Domain Discovery Enables Low-Cost Extensibility
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A Review Of Robotic World Models For Dynamic Environments Based On Factor And Scene Graphs
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ScribbleEdit: A Benchmark for Scribble-Only Image Editing
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YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding
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Abdominal Ultrasound Simulation from Semantic Labels using Paired Label-to-Physics-Based Image Translation
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Speech Emotion Recognition Using CNN and Its Use Case in Digital Healthcare
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