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Pashupati Hegde

2 accepted papers

2022

Variational multiple shooting for Bayesian ODEs with Gaussian processes

UAI 2022poster

Recent machine learning advances have proposed black-box estimation of \textit{unknown continuous-time system dynamics} directly from data. However, earlier works are based on approximative solutions or point estimates. We propose a novel Bayesian nonparametric model that uses Gaussian processes to…

2019

Deep learning with differential Gaussian process flows

AISTATS 2019poster

We propose a novel deep learning paradigm of differential flows that learn a stochastic differential equation transformations of inputs prior to a standard classification or regression function. The key property of differential Gaussian processes is the warping of inputs through infinitely deep, but…

Cited by 55SourcePDFScholar