Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees
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Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
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ROVE: Unlocking Human Interventions for Humanoid Manipulation via Reinforcement Learning
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Uncertainty Quantification for Flow-Based Generalist Robot Policies
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Learning the structure of open quantum systems
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CipherGenome: Homomorphic Inference for Genomic Mixture-of-Experts
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Using large language models to probe the limits of atom-centered structural descriptors
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Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows
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Fractal dimension predicts quantum kernel collapse in angle-encoded data
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AECSF: Adaptive Ensemble Conditional Score Filtering for High-Dimensional Nonlinear Data Assimilation
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Pincer: Resource Authorization for Agents using a Digital Twin
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IGNITE Tokamak World Model Architecture
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