Prasanth Nair
4 papers · 2018–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
variational inference
(2)
bayesian inference
(1)
kernel approximation
(1)
gaussian process
(1)
posterior inference
(1)
stochastic process
(1)
nystrom method
(1)
kronecker product
(1)
amortized inference
(1)
energy function
(1)
latent variable model
(1)
dynamical system
(1)
physics-informed learning
(1)
stochastic differential equation
(1)
discrete latent variable
(1)
ordinary differential equation
(1)
evidence lower bound
(1)
continuous-time model
(1)
neural network
(1)
hamiltonian system
(1)
Papers
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
NeurIPS 2023
Weak Form Generalized Hamiltonian Learning
NeurIPS 2020
Discretely Relaxing Continuous Variables for tractable Variational Inference
NeurIPS 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
ICML 2018