Ricardo Baptista

60 papers A* 5A 1C 1Journal 47Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Large Language Models: A Mathematical Formulation. CoRR Ricardo Baptista, Andrew M. Stuart, Son Tran
2026	J	`jnl`	Learning enhanced ensemble filters. J. Comput. Phys. Eviatar Bach, Ricardo Baptista, Edoardo Calvello, Bohan Chen, Andrew M. Stuart
2026	J	`jnl`	Variational Flow Maps: Make Some Noise for One-Step Conditional Generation. CoRR Abbas Mammadov, So Takao, Bohan Chen, Ricardo Baptista, Morteza Mardani, Yee Whye Teh, Julius Berner
2025	J	`jnl`	A Mathematical Perspective On Contrastive Learning. CoRR Ricardo Baptista, Andrew M. Stuart, Son Tran
2025	J	`jnl`	Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors. CoRR Hongkai Zheng, Austin Wang, Zihui Wu, Zhengyu Huang, Ricardo Baptista, Yisong Yue
2025	—	`conf`	Computing Optimal Transport Plans via Min-Max Gradient Flows. CDC Lauren E. Conger, Franca Hoffmann, Ricardo Baptista, Eric Mazumdar
2025	A	`conf`	Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps. AISTATS Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef Marzouk, Jonathan Niles-Weed
2025	J	`jnl`	Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis. SIAM J. Sci. Comput. Qiao Chen, Élise Arnaud, Ricardo Baptista, Olivier Zahm
2025	J	`jnl`	Dimension reduction via score ratio matching. Trans. Mach. Learn. Res. Ricardo Baptista, Michael Brennan, Youssef Marzouk
2025	J	`jnl`	Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. SIAM J. Sci. Comput. Zheyu Oliver Wang, Ricardo Baptista, Youssef Marzouk, Lars Ruthotto, Deepanshu Verma
2025	J	`jnl`	Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems. Trans. Mach. Learn. Res. Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue
2025	J	`jnl`	Learning Enhanced Ensemble Filters. CoRR Eviatar Bach, Ricardo Baptista, Edoardo Calvello, Bohan Chen, Andrew M. Stuart
2025	A*	`conf`	Learning Local Neighborhoods of Non-Gaussian Graphical Models. AAAI Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista
2025	J	`jnl`	Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach. CoRR Sarah Liaw, Rebecca E. Morrison, Youssef Marzouk, Ricardo Baptista
2025	J	`jnl`	Memorization and Regularization in Generative Diffusion Models. CoRR Ricardo Baptista, Agnimitra Dasgupta, Nikola B. Kovachki, Assad A. Oberai, Andrew M. Stuart
2025	A*	`conf`	Neural Approximate Mirror Maps for Constrained Diffusion Models. ICLR Berthy Feng, Ricardo Baptista, Katherine L. Bouman
2025	J	`jnl`	Score-Based Diffusion Models in Function Space. J. Mach. Learn. Res. 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
2025	J	`jnl`	Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks. CoRR Ricardo Baptista, Edoardo Calvello, Matthieu Darcy, Houman Owhadi, Andrew M. Stuart, Xianjin Yang
2024	J	`jnl`	An approximation theory framework for measure-transport sampling algorithms. Math. Comput. Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef Marzouk, Amir Sagiv
2024	J	`jnl`	Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. J. Comput. Phys. Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef M. Marzouk, J. Tinsley Oden
2024	J	`jnl`	Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference. SIAM/ASA J. Uncertain. Quantification Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk
2024	J	`jnl`	Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps. CoRR Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef M. Marzouk, Jonathan Niles-Weed
2024	J	`jnl`	Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis. CoRR Qiao Chen, Élise Arnaud, Ricardo Baptista, Olivier Zahm
2024	J	`jnl`	Dimension reduction via score ratio matching. CoRR Ricardo Baptista, Michael Brennan, Youssef M. Marzouk
2024	C	`conf`	Distributed Nonlinear Filtering using Triangular Transport Maps. ACC Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips
2024	J	`jnl`	Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems. CoRR Hongkai Zheng, Wenda Chu, Austin Wang, Nikola B. Kovachki, Ricardo Baptista, Yisong Yue
2024	J	`jnl`	Inverse Problems and Data Assimilation: A Machine Learning Approach. CoRR Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso, Andrew M. Stuart
2024	J	`jnl`	Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. J. Mach. Learn. Res. Ricardo Baptista, Rebecca E. Morrison, Olivier Zahm, Youssef M. Marzouk
2024	J	`jnl`	Learning Optimal Filters Using Variational Inference. CoRR Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew M. Stuart
2024	J	`jnl`	Neural Approximate Mirror Maps for Constrained Diffusion Models. CoRR Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman
2024	J	`jnl`	On the Representation and Learning of Monotone Triangular Transport Maps. Found. Comput. Math. Ricardo Baptista, Youssef M. Marzouk, Olivier Zahm
2024	J	`jnl`	Training and Certification of Competences through Serious Games. Comput. Ricardo Baptista, António Coelho, Carlos Vaz de Carvalho
2023	J	`jnl`	A generative flow for conditional sampling via optimal transport. CoRR Jason Alfonso, Ricardo Baptista, Anupam Bhakta, Noam Gal, Alfin Hou, Isa Lyubimova, Daniel Pocklington, Josef Sajonz, Giulio Trigila, Ryan Tsai
2023	J	`jnl`	An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv
2023	J	`jnl`	Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. CoRR Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi
2023	J	`jnl`	Computational Optimal Transport and Filtering on Riemannian Manifolds. IEEE Control. Syst. Lett. Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista, Amirhossein Taghvaei, Tryphon T. Georgiou, Sean Phillips, Allen R. Tannenbaum
2023	A*	`conf`	Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. NeurIPS Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez
2023	J	`jnl`	Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models. CoRR Zhong Yi Wan, Ricardo Baptista, Yi-Fan Chen, John Anderson, Anudhyan Boral, Fei Sha, Leonardo Zepeda-Núñez
2023	J	`jnl`	Distributed Nonlinear Filtering using Triangular Transport Maps. CoRR Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips
2023	J	`jnl`	Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma
2023	J	`jnl`	Ensemble transport smoothing. Part I: Unified framework. J. Comput. Phys. X Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
2023	J	`jnl`	Ensemble transport smoothing. Part II: Nonlinear updates. J. Comput. Phys. X Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk
2023	J	`jnl`	Score-based Diffusion Models in Function Space. CoRR 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
2023	A*	`conf`	Structured Neural Networks for Density Estimation and Causal Inference. NeurIPS Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan
2023	J	`jnl`	Structured Neural Networks for Density Estimation and Causal Inference. CoRR Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan
2022	J	`jnl`	Diagonal nonlinear transformations preserve structure in covariance and precision matrices. J. Multivar. Anal. Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor
2022	J	`jnl`	MParT: Monotone Parameterization Toolkit. J. Open Source Softw. Matthew D. Parno, Paul-Baptiste Rubio, Daniel Sharp, Michael Brennan, Ricardo Baptista, Henning Bonart, Youssef M. Marzouk
2021	J	`jnl`	Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm
2020	J	`jnl`	An adaptive transport framework for joint and conditional density estimation. CoRR Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk
2020	J	`jnl`	Conditional Sampling With Monotone GANs. CoRR Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk
2019	—	`conf`	Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor. EPIA (1) Pedro Moura, Daniela Ribeiro, Filipe Neves dos Santos, Alberto Gomes, Ricardo Baptista, Mario Cunha
2019	J	`jnl`	Some greedy algorithms for sparse polynomial chaos expansions. J. Comput. Phys. Ricardo Baptista, Valentin Stolbunov, Prasanth B. Nair
2018	A*	`conf`	Bayesian Optimization of Combinatorial Structures. ICML Ricardo Baptista, Matthias Poloczek
2018	J	`jnl`	Bayesian Optimization of Combinatorial Structures. CoRR Ricardo Baptista, Matthias Poloczek
2017	—	`conf`	Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
2017	J	`jnl`	Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk
2015	—	`conf`	Relation Between Game Genres and Competences for In-Game Certification. SGAMES Ricardo Baptista, António Coelho, Carlos Vaz de Carvalho
2014	—	`conf`	Training and Support system in the Cloud for improving the situational awareness in Search and Rescue (SAR) operations. SSRR 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
2013	J	`jnl`	TimeMesh - A Serious Game for European Citizenship. EAI Endorsed Trans. Serious Games Ricardo Baptista, Carlos Vaz de Carvalho
2012	—	`conf`	Time Mesh: An Educational Historical Game. DIGITEL David Gouveia, Duarte Lopes, Carlos Vaz de Carvalho, Ricardo Baptista