29 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 5 cited
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization
Tao Sun, Huaming Ling, Zuoqiang Shi +2
Heavy ball momentum is crucial in accelerating (stochastic) gradient-based optimization algorithms for machine learning. Existing heavy ball momentum is usually weighted by a unifo…
physics.soc-ph2020★ 11 cited
Power and the Pandemic: Exploring Global Changes in Electricity Demand During COVID-19
Elizabeth Buechler, Siobhan Powell, Tao Sun +6
Understanding how efforts to limit exposure to COVID-19 have altered electricity demand provides insights not only into how dramatic restrictions shape electricity demand but also…
cs.LG2020★ 29 cited
FedGAN: Federated Generative Adversarial Networks for Distributed Data
Mohammad Rasouli, Tao Sun, Ram Rajagopal
We propose Federated Generative Adversarial Network (FedGAN) for training a GAN across distributed sources of non-independent-and-identically-distributed data sources subject to co…