Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?
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Seeing the Invisible: Physics-Guided Visual Prompting for Temperature- and Radiation-Aware VLA Navigation
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Personal-Agent Mediated Recommendation with Cross-Platform User History
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BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household Manipulation
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Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
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The Robot Is Not Its Description: GaugeBench for Representation Robustness in Morphology-Aware Policies
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Joint Workflow and Prompt Optimization for User Behavior Simulation
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Modeling Latent Disturbances for Robust Decision-Making in World Models
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A Neural JKO Scheme for Hellinger-Kantorovich Gradient Flows via Monge-Growth Pairs
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Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane
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Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models
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Explicit Asymptotic Bounds for Sequential Calibration Beyond $T^{2/3}$
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