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ORCIDRicardo Baptista
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2020 – today
- 2024
[j11]Ricardo Baptista
, António Coelho, Carlos Vaz de Carvalho:
Training and Certification of Competences through Serious Games. Comput. 13(8): 201 (2024)- [j10]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: 112844 (2024) - [j9]Ricardo Baptista, Rebecca E. Morrison, Olivier Zahm, Youssef M. Marzouk:
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport. J. Mach. Learn. Res. 25: 85:1-85:46 (2024) - [j8]Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk:
Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference. SIAM/ASA J. Uncertain. Quantification 12(3): 868-900 (2024) - [c8]Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips:
Distributed Nonlinear Filtering using Triangular Transport Maps. ACC 2024: 3062-3067 - [i19]Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman:
Neural Approximate Mirror Maps for Constrained Diffusion Models. CoRR abs/2406.12816 (2024) - [i18]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 abs/2406.13425 (2024) - [i17]Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart:
Learning Optimal Filters Using Variational Inference. CoRR abs/2406.18066 (2024) - [i16]Hongkai Zheng, Wenda Chu, Austin Wang, Nikola B. Kovachki, Ricardo Baptista, Yisong Yue:
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems. CoRR abs/2409.20175 (2024) - [i15]Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso, Andrew Stuart:
Inverse Problems and Data Assimilation: A Machine Learning Approach. CoRR abs/2410.10523 (2024) - [i14]Ricardo Baptista, Michael Brennan, Youssef M. Marzouk:
Dimension reduction via score ratio matching. CoRR abs/2410.19990 (2024) - 2023
- [j7]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: 3495-3500 (2023) - [j6]Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk:
Ensemble transport smoothing. Part II: Nonlinear updates. J. Comput. Phys. X 17: 100133 (2023) - [j5]Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin, Youssef M. Marzouk:
Ensemble transport smoothing. Part I: Unified framework. J. Comput. Phys. X 17: 100134 (2023) - [c7]Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan:
Structured Neural Networks for Density Estimation and Causal Inference. NeurIPS 2023 - [c6]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 - [i13]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 abs/2302.07400 (2023) - [i12]Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki, Youssef M. Marzouk, Amir Sagiv:
An Approximation Theory Framework for Measure-Transport Sampling Algorithms. CoRR abs/2302.13965 (2023) - [i11]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 abs/2305.15618 (2023) - [i10]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 abs/2307.04102 (2023) - [i9]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 abs/2310.16975 (2023) - [i8]Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei, Allen R. Tannenbaum, Sean Phillips:
Distributed Nonlinear Filtering using Triangular Transport Maps. CoRR abs/2310.19000 (2023) - [i7]Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan:
Structured Neural Networks for Density Estimation and Causal Inference. CoRR abs/2311.02221 (2023) - [i6]Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi:
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. CoRR abs/2311.17007 (2023) - 2022
- [j4]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): 4843 (2022) - [j3]Rebecca E. Morrison, Ricardo Baptista, Estelle L. Basor:
Diagonal nonlinear transformations preserve structure in covariance and precision matrices. J. Multivar. Anal. 190: 104983 (2022) - 2021
- [i5]Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm:
Learning non-Gaussian graphical models via Hessian scores and triangular transport. CoRR abs/2101.03093 (2021) - 2020
- [i4]Nikola B. Kovachki, Ricardo Baptista, Bamdad Hosseini, Youssef M. Marzouk:
Conditional Sampling With Monotone GANs. CoRR abs/2006.06755 (2020) - [i3]Ricardo Baptista, Olivier Zahm, Youssef M. Marzouk:
An adaptive transport framework for joint and conditional density estimation. CoRR abs/2009.10303 (2020)
2010 – 2019
- 2019
- [j2]Ricardo Baptista, Valentin Stolbunov, Prasanth B. Nair:
Some greedy algorithms for sparse polynomial chaos expansions. J. Comput. Phys. 387: 303-325 (2019) - [c5]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: 121-133 - 2018
- [c4]Ricardo Baptista, Matthias Poloczek:
Bayesian Optimization of Combinatorial Structures. ICML 2018: 471-480 - [i2]Ricardo Baptista, Matthias Poloczek:
Bayesian Optimization of Combinatorial Structures. CoRR abs/1806.08838 (2018) - 2017
- [c3]Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk:
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. NIPS 2017: 2359-2369 - [i1]Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk:
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. CoRR abs/1711.00950 (2017) - 2015
- [c2]Ricardo Baptista, António Coelho, Carlos Vaz de Carvalho:
Relation Between Game Genres and Competences for In-Game Certification. SGAMES 2015: 28-35 - 2014
- [c1]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: 1-6 - 2013
- [j1]Ricardo Baptista, Carlos Vaz de Carvalho:
TimeMesh - A Serious Game for European Citizenship. EAI Endorsed Trans. Serious Games 1(1): e2 (2013)
Coauthor Index
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last updated on 2024-12-03 21:24 CET by the dblp team
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