Ricardo Baptista

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Riemannian Manifolds

Diffusion Models

Causal Inference

Greedy Algorithms

Top Venues

J. Comput. Phys.

J. Comput. Phys. X

Publications

Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman
Neural Approximate Mirror Maps for Constrained Diffusion Models. CoRR (2024)
Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef M. Marzouk, J. Tinsley Oden
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. J. Comput. Phys. 503 (2024)
Qiao Chen, Elise Arnaud, Ricardo Baptista, Olivier Zahm
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis. CoRR (2024)
Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart
Learning Optimal Filters Using Variational Inference. CoRR (2024)
Zhong Yi Wan, Ricardo Baptista, Yi-Fan Chen, John Anderson, Anudhyan Boral, Fei Sha, Leonardo Zepeda-Núñez
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. CoRR (2023)
Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen Tannenbaum, Sean Phillips
Distributed Nonlinear Filtering using Triangular Transport Maps. CoRR (2023)
Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
Ensemble transport smoothing. Part II: Nonlinear updates. J. Comput. Phys. X 17 (2023)
Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. NeurIPS (2023)
Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. CoRR (2023)
Jason Alfonso, Ricardo Baptista, Anupam Bhakta, Noam Gal, Alfin Hou, Isa Lyubimova, Daniel Pocklington, Josef Sajonz, Giulio Trigila, Ryan Tsai
A generative flow for conditional sampling via optimal transport. CoRR (2023)
Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
Ensemble transport smoothing. Part I: Unified framework. J. Comput. Phys. X 17 (2023)
Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR (2023)
Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T. Georgiou, Sean Phillips, Allen R. Tannenbaum
Computational Optimal Transport and Filtering on Riemannian Manifolds. IEEE Control. Syst. Lett. 7 (2023)
Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
Score-based Diffusion Models in Function Space. CoRR (2023)
Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv
An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR (2023)
Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan
Structured Neural Networks for Density Estimation and Causal Inference. CoRR (2023)
Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan
Structured Neural Networks for Density Estimation and Causal Inference. NeurIPS (2023)
Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk
MParT: Monotone Parameterization Toolkit. J. Open Source Softw. 7 (80) (2022)
Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor
Diagonal nonlinear transformations preserve structure in covariance and precision matrices. J. Multivar. Anal. 190 (2022)
Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm
Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR (2021)
Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk
An adaptive transport framework for joint and conditional density estimation. CoRR (2020)
Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk
Conditional Sampling With Monotone GANs. CoRR (2020)
Ricardo Baptista, Valentin Stolbunov, Prasanth B. Nair
Some greedy algorithms for sparse polynomial chaos expansions. J. Comput. Phys. 387 (2019)
Pedro Moura, Daniela Ribeiro, Filipe Neves dos Santos, Alberto Gomes, Ricardo Baptista, Mario Cunha
Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor. EPIA (1) (2019)
Ricardo Baptista, Matthias Poloczek
Bayesian Optimization of Combinatorial Structures. CoRR (2018)
Ricardo Baptista, Matthias Poloczek
Bayesian Optimization of Combinatorial Structures. ICML (2018)
Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR (2017)
Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS (2017)
Ricardo Baptista, António Coelho, Carlos Vaz de Carvalho
Relation Between Game Genres and Competences for In-Game Certification. SGAMES (2015)
Michal Pelka, Karol Majek, Janusz Bedkowski, Pawel Musialik, Andrzej Maslowski, Geert De Cubber, Haris Balta, António Coelho, Ricardo Gonçalves, Ricardo Baptista, Jose M. Sanchez, Shashank Govindaraj
Training and Support system in the Cloud for improving the situational awareness in Search and Rescue (SAR) operations. SSRR (2014)
Ricardo Baptista, Carlos Vaz de Carvalho
TimeMesh - A Serious Game for European Citizenship. EAI Endorsed Trans. Serious Games 1 (1) (2013)