6 citations · 17 across the 8 of their papers we have counts for
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stat.CO2023
Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo
Wei Deng
The rise of artificial intelligence (AI) hinges on the efficient training of modern deep neural networks (DNNs) for non-convex optimization and uncertainty quantification, which bo…
cs.LG2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen, Wei Deng, Shikai Fang +7
The Schrödinger bridge problem (SBP) is gaining increasing attention in generative modeling and showing promising potential even in comparison with the score-based generative model…