When Can World Models Recover Physical Laws?
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Online Neural Space Time Memory for Dynamic Novel View Synthesis
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RIGOR: Rig-Informed Geometry for Omnidirectional Reconstruction
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HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis
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UnitBoost: Managing Compound LLM Systems with a Merge Operator, Not a Model
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Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation
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Statistical Turbulence and High-Fidelity Disturbance Fields for Quadrotor Flight Control
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RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
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Linear Bandits under Exact Sliding-Window Constraints
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Neural Petri flows for chemical reactions
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Initialization and Stopping Tolerance in CPU Dermoscopic Segmentation
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Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
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