no code implementations • NeurIPS 2021 • Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
Learning the distribution of future trajectories conditioned on the past is a crucial problem for understanding multi-agent systems.
no code implementations • NeurIPS 2021 • Bin Dai, Li Wenliang, David Wipf
A number of recent studies of continuous variational autoencoder (VAE) models have noted, either directly or indirectly, the tendency of various parameter gradients to drift towards infinity during training.
1 code implementation • 20 Nov 2018 • Li Wenliang, Danica J. Sutherland, Heiko Strathmann, Arthur Gretton
The kernel exponential family is a rich class of distributions, which can be fit efficiently and with statistical guarantees by score matching.