Publications

An Approximation Theory Framework for Measure-Transport Sampling Algorithms

Ricardo Baptista, Bamdad Hosseini, Nikola Kovachki, Youssef Marzouk, Amir Sagiv

Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference

Ricardo Baptista, Bamdad Hosseini, Nikola Kovachki, Youssef Marzouk

Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

Zhong Yi Wan, Ricardo Baptista, Yi-fan Chen, John Anderson, Anudhyan Boral, Fei Sha, Leonardo Zepeda-Nunez

Ensemble transport smoothing--Part 2: nonlinear updates

Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef Marzouk

Ensemble transport smoothing--Part 1: unified framework

Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef Marzouk

Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective

Ricardo Baptista, Youssef Marzouk, Olivier Zahm

On the representation and learning of monotone triangular transport maps

Ricardo Baptista, Youssef Marzouk, Olivier Zahm

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef Marzouk, J. Tinsley Oden

A low-rank ensemble Kalman filter for elliptic observations

Mathieu Le Provost, Ricardo Baptista, Youssef Marzouk, Jeff Eldredge

Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices

Rebecca E. Morrison, Ricardo Baptista, Estelle Basor

Learning non-Gaussian graphical models via Hessian scores and triangular transport

Ricardo Baptista, Youssef Marzouk, Rebecca E. Morrison, Olivier Zahm

A low-rank nonlinear ensemble filter for vortex models of aerodynamic flows

Mathieu Le Provost, Ricardo Baptista, Youssef Marzouk, Jeff Eldredge

Some greedy algorithms for sparse polynomial chaos expansions

Ricardo Baptista, Valentin Stolbunov, Prasanth B Nair

Coupling techniques for nonlinear ensemble filtering

Alessio Spantini, Ricardo Baptista, Youssef Marzouk

Optimal approximations of coupling in multidisciplinary models

Ricardo Baptista, Youssef Marzouk, Karen Willcox, Benjamin Peherstorfer

Bayesian Optimization of Combinatorial Structures

Ricardo Baptista, Matthias Poloczek

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting

Rebecca E. Morrison, Ricardo Baptista, Youssef Marzouk