Ghattas, Omar

5 publications

JMLR 2025 Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems Lianghao Cao, Thomas O'Leary-Roseberry, Omar Ghattas
NeurIPS 2020 Projected Stein Variational Gradient Descent Peng Chen, Omar Ghattas
NeurIPS 2019 Disentangled Behavioural Representations Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong
NeurIPS 2019 Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions Peng Chen, Keyi Wu, Joshua Chen, Tom O'Leary-Roseberry, Omar Ghattas
AAAI 1991 Geometric Reasoning for Shape Design George Turkiyyah, Omar Ghattas