23 citations · 28 across the 3 of their papers we have counts for
3 papers
Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks
Ju Lin, Adriaan J. van Wijngaarden, Kuang-Ching Wang +1
Multi-stage learning is an effective technique to invoke multiple deep-learning modules sequentially. This paper applies multi-stage learning to speech enhancement by using a multi…
Cellular State Transformations using Generative Adversarial Networks
Colin Targonski, Benjamin T. Shealy, Melissa C. Smith +1
We introduce a novel method to unite deep learning with biology by which generative adversarial networks (GANs) generate transcriptome perturbations and reveal condition-defining g…
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu, Siheng Chen, Hanyu Guo +3
In this paper, we introduce a generalized value iteration network (GVIN), which is an end-to-end neural network planning module. GVIN emulates the value iteration algorithm by usin…