research
∙
10/07/2022
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
Training dynamic models, such as neural ODEs, on long trajectories is a ...
share
research
∙
07/16/2018
Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching
We introduce a novel paradigm for learning non-parametric drift and diff...
research
∙
06/07/2018
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
Recent studies have illustrated that stochastic gradient Markov Chain Mo...
research
∙
03/12/2018
