Omar Ghattas
4 papers · 2019–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (6) π Cross-Pollinator (6)
πΊοΈ
Taxonomy Completionist
(12)
Conferences
NIPS (3)
JMLR (1)
Top co-authors
Keywords
bayesian inference
(3)
variational inference
(2)
high-dimensional inference
(2)
disentangled representation
(1)
recurrent neural network
(1)
partial differential equation
(1)
surrogate model
(1)
latent space
(1)
bayesian inverse problem
(1)
neural operator
(1)
stein variational gradient descent
(1)
individual difference
(1)
geometric mcmc
(1)
parameter-to-observable map
(1)
derivative-informed learning
(1)
cognitive model
(1)
dimensionality curse
(1)
gradient information matrix
(1)
stochastic gradient
(1)
stein variational
(1)
Papers
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems
JMLR 2025
Projected Stein Variational Gradient Descent
NIPS 2020
Disentangled behavioural representations
NIPS 2019
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions
NIPS 2019