WASABI: Wasserstein Sampling via Bridge Interpolants
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When Is a Game a Markov Decision Process? Correspondences Between Game Theory and Reinforcement Learning
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Empirical Evaluation of Quantum Kernel Methods for Classification: A Comparative Study with Classical Kernels
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Hard Constraint Projection in a Physics Informed Neural Network (Burgers)
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A Neural Network Approach towards Real-Time Knot Point Density Estimates for the Nonlinear Quadrotor
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Exact Theory and Optimal Stepsizes for Stochastic Gradient Descent in Smooth Convex Minimization
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RAMA: Retrieval-Augmented Multi-Agent Routing with Episodic Memory for LEO Satellite Networks
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Regret-Optimal Wasserstein-Robust Linear Regression
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SATFRONT: Detecting Atmospheric Fronts with Satellite Data using Machine Learning
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Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
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Non-Asymptotic Stability and Consistency Guarantees for Physics-Informed Neural Networks via Coercive Operator Analysis
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A Learning Stability Profile for Finite-Dimensional Learning Dynamics
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