238 citations · 242 across the 4 of their papers we have counts for
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cs.LG2020
Faster Policy Learning with Continuous-Time Gradients
Samuel Ainsworth, Kendall Lowrey, John Thickstun +2
We study the estimation of policy gradients for continuous-time systems with known dynamics. By reframing policy learning in continuous-time, we show that it is possible construct…
cs.LG2020
Source Separation with Deep Generative Priors
Vivek Jayaram, John Thickstun
Despite substantial progress in signal source separation, results for richly structured data continue to contain perceptible artifacts. In contrast, recent deep generative models c…
cs.LG2019★ 3 cited
Convolutional Composer Classification
Harsh Verma, John Thickstun
This paper investigates end-to-end learnable models for attributing composers to musical scores. We introduce several pooled, convolutional architectures for this task and draw con…