1 code implementation • 1 Dec 2020 • Yuchen Wang, Matthieu Chan Chee, Ziyad Edher, Minh Duc Hoang, Shion Fujimori, Sornnujah Kathirgamanathan, Jesse Bettencourt
Black Sigatoka disease severely decreases global banana production, and climate change aggravates the problem by altering fungal species distributions.
1 code implementation • NeurIPS 2020 • Jacob Kelly, Jesse Bettencourt, Matthew James Johnson, David Duvenaud
Differential equations parameterized by neural networks become expensive to solve numerically as training progresses.
5 code implementations • 6 Feb 2019 • Chris Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit
We show high-level functionality for defining neural ordinary differential equations (neural networks embedded into the differential equation) and describe the extra models in the Flux model zoo which includes neural stochastic differential equations.
7 code implementations • ICLR 2019 • Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud
The result is a continuous-time invertible generative model with unbiased density estimation and one-pass sampling, while allowing unrestricted neural network architectures.
Ranked #1 on Density Estimation on UCI MINIBOONE
55 code implementations • NeurIPS 2018 • Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud
Instead of specifying a discrete sequence of hidden layers, we parameterize the derivative of the hidden state using a neural network.
Ranked #2 on Multivariate Time Series Imputation on MuJoCo
Multivariate Time Series Forecasting Multivariate Time Series Imputation