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Ricardo Baptista

Ensemble-based data assimilation via nonlinear couplings
Likelihood-free Bayesian inference via couplings
Learning non-Gaussian graphical models via Hessian scores and triangular transport
A low-rank nonlinear ensemble filter for vortex models of aerodynamic flows
An adaptive transport framework for joint and conditional density estimation
Learning non-Gaussian graphical models
Conditional Sampling With Monotone GANs
High-dimensional ensemble filtering with nonlinear local couplings
Coupling techniques for nonlinear ensemble filtering
Some greedy algorithms for sparse polynomial chaos expansions
Bayesian Optimization of Combinatorial Structures
Optimal approximations of coupling in multidisciplinary models
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting