Omar Ghattas
5 papers · 2019–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Core AI
(2)
Optimization
(2)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
variational inference
(3)
bayesian inference
(3)
parameter-to-observable map
(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)
transport map
(1)
individual difference
(1)
geometric mcmc
(1)
derivative-informed learning
(1)
cognitive model
(1)
dimensionality curse
(1)
bayesian inversion
(1)
gradient information matrix
(1)
Papers
LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport
JMLR 2026
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems
JMLR 2025
Projected Stein Variational Gradient Descent
NeurIPS 2020
Disentangled behavioural representations
NeurIPS 2019
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions
NeurIPS 2019