Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework
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Polylogarithmic Sparsity of Randomly Reweighted NPMLEs for Gaussian Mixtures
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MASkillBlender: Decentralized Whole-Body Coordination for Multi-Humanoid Loco-Manipulation via Skill Blending
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Classical Hardness of Learning Functions of Hamiltonians
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Continual Learning for 6-DoF Grasp Synthesis via Experience and Demonstrations
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Reachability-Informed Reinforcement Learning for Multi-Impulse Interplanetary Transfers
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LESS: Lightweight Evolutionary Supernet Search in Minutes
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Degree-Corrected Joint Matrix Factorization for Multilayer Community Detection
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SupraTITO: Transferable Generative Molecular Dynamics for Supramolecular Systems
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Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization
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Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions
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The hidden advantage of mask resampling: a theory of masked autoencoders
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