1 code implementation • 9 Nov 2020 • Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley Osher, Lars Ruthotto
Our approach is grid-free and scales efficiently to dimensions where grids become impractical or infeasible.
Optimization and Control
3 code implementations • 29 May 2020 • Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto
On five high-dimensional density estimation and generative modeling tasks, OT-Flow performs competitively to state-of-the-art CNFs while on average requiring one-fourth of the number of weights with an 8x speedup in training time and 24x speedup in inference.
1 code implementation • 27 May 2020 • Derek Onken, Lars Ruthotto
Neural ODEs are ordinary differential equations (ODEs) with neural network components.