Prasanth Nair
4 papers · 2018–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (2) 🏃 Academic Marathon (5) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge
🧭
Keyword Pioneer
Conferences
NIPS (3)
ICML (1)
Top co-authors
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)
neural network
(1)
hamiltonian system
(1)
continuous time model
(1)
Papers
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
NIPS 2023
Weak Form Generalized Hamiltonian Learning
NIPS 2020
Discretely Relaxing Continuous Variables for tractable Variational Inference
NIPS 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
ICML 2018