Nair, Prasanth

4 publications

NeurIPS 2023 Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs Kevin Course, Prasanth Nair

NeurIPS 2020 Weak Form Generalized Hamiltonian Learning Kevin Course, Trefor Evans, Prasanth Nair

NeurIPS 2018 Discretely Relaxing Continuous Variables for Tractable Variational Inference Trefor Evans, Prasanth Nair

ICML 2018 Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) Trefor Evans, Prasanth Nair