Ricardo Baptista

According to our database, Ricardo Baptista authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Training and Certification of Competences through Serious Games.

Ricardo Baptista, António Coelho, Carlos Vaz de Carvalho

Comput., August, 2024

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

Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk

SIAM/ASA J. Uncertain. Quantification, 2024

Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport.

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

J. Mach. Learn. Res., 2024

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 M. Marzouk, J. Tinsley Oden

J. Comput. Phys., 2024

Dimension reduction via score ratio matching.

Ricardo Baptista, Michael Brennan, Youssef M. Marzouk

CoRR, 2024

Inverse Problems and Data Assimilation: A Machine Learning Approach.

Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso, Andrew Stuart

CoRR, 2024

Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.

Hongkai Zheng, Wenda Chu, Austin Wang, Nikola B. Kovachki, Ricardo Baptista, Yisong Yue

CoRR, 2024

Learning Optimal Filters Using Variational Inference.

Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart

CoRR, 2024

Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis.

Qiao Chen, Elise Arnaud, Ricardo Baptista, Olivier Zahm

CoRR, 2024

Neural Approximate Mirror Maps for Constrained Diffusion Models.

Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman

CoRR, 2024

Distributed Nonlinear Filtering using Triangular Transport Maps.

Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips

Proceedings of the American Control Conference, 2024

2023

Ensemble transport smoothing. Part I: Unified framework.

Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk

J. Comput. Phys. X, November, 2023

Ensemble transport smoothing. Part II: Nonlinear updates.

Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk

J. Comput. Phys. X, November, 2023

Computational Optimal Transport and Filtering on Riemannian Manifolds.

Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T. Georgiou, Sean Phillips, Allen R. Tannenbaum

IEEE Control. Syst. Lett., 2023

Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots.

Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi

CoRR, 2023

Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference.

Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma

CoRR, 2023

A generative flow for conditional sampling via optimal transport.

Jason Alfonso, Ricardo Baptista, Anupam Bhakta, Noam Gal, Alfin Hou, Isa Lyubimova, Daniel Pocklington, Josef Sajonz, Giulio Trigila, Ryan Tsai

CoRR, 2023

An Approximation Theory Framework for Measure-Transport Sampling Algorithms.

Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv

CoRR, 2023

Score-based Diffusion Models in Function Space.

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

CoRR, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structured Neural Networks for Density Estimation and Causal Inference.

Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

MParT: Monotone Parameterization Toolkit.

Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk

J. Open Source Softw., December, 2022

Diagonal nonlinear transformations preserve structure in covariance and precision matrices.

Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor

J. Multivar. Anal., 2022

2020

An adaptive transport framework for joint and conditional density estimation.

Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk

CoRR, 2020

Conditional Sampling With Monotone GANs.

Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk

CoRR, 2020

2019

Some greedy algorithms for sparse polynomial chaos expansions.

Ricardo Baptista, Valentin Stolbunov, Prasanth B. Nair

J. Comput. Phys., 2019

Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor.

Pedro Moura, Daniela Ribeiro, Filipe Neves dos Santos, Alberto Gomes, Ricardo Baptista, Mario Cunha

Proceedings of the Progress in Artificial Intelligence, 2019

2018

Bayesian Optimization of Combinatorial Structures.

Ricardo Baptista, Matthias Poloczek

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

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

Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Relation Between Game Genres and Competences for In-Game Certification.

Ricardo Baptista, António Coelho, Carlos Vaz de Carvalho

Proceedings of the Serious Games, Interaction, and Simulation, 2015

2014

Training and Support system in the Cloud for improving the situational awareness in Search and Rescue (SAR) operations.

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

Proceedings of the 2014 IEEE International Symposium on Safety, 2014

2013

TimeMesh - A Serious Game for European Citizenship.

Ricardo Baptista, Carlos Vaz de Carvalho

EAI Endorsed Trans. Serious Games, 2013