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11/12/2021
Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control
Experimental advances enabling high-resolution external control create n...
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07/16/2021
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods
Normalizing flows can generate complex target distributions and thus sho...
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08/21/2020
A Dynamical Central Limit Theorem for Shallow Neural Networks
Recent theoretical work has characterized the dynamics of wide shallow n...
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08/11/2020
Learning with rare data: Using active importance sampling to optimize objectives dominated by rare events
Deep neural networks, when optimized with sufficient data, provide accur...
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05/02/2018