Ricardo José Vieira Baptista


AuthID: R-001-J8Z

Publications Awaiting Confirmation

1
TITLE: Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport PDF
AUTHORS: Ricardo Baptista; Rebecca E Morrison; Olivier Zahm; Youssef M Marzouk;
PUBLISHED: 2024, SOURCE: J. Mach. Learn. Res., VOLUME: 25
INDEXED IN: DBLP arXiv
IN MY: DBLP
2
TITLE: Framework for adaptive serious games  Full Text
AUTHORS: Pistono, Alvaro Marcos Antonio de Araujo; dos Santos, Arnaldo Manuel Pinto; Baptista, Ricardo Jose Vieira; Mamede, Henrique Sao ;
PUBLISHED: 2024, SOURCE: COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, VOLUME: 32, ISSUE: 4
INDEXED IN: Scopus WOS DBLP CrossRef Unpaywall
3
TITLE: Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport
AUTHORS: Ricardo Baptista; Lianghao Cao; Joshua Chen; Omar Ghattas; Fengyi Li; Youssef M Marzouk; Tinsley T Oden;
PUBLISHED: 2024, SOURCE: J. Comput. Phys., VOLUME: 503
INDEXED IN: DBLP
IN MY: DBLP
4
TITLE: Neural Approximate Mirror Maps for Constrained Diffusion Models
AUTHORS: Berthy T Feng; Ricardo Baptista; Katherine L Bouman;
PUBLISHED: 2024, SOURCE: CoRR, VOLUME: abs/2406.12816
INDEXED IN: DBLP
IN MY: DBLP
5
TITLE: Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
AUTHORS: Qiao Chen; Elise Arnaud; Ricardo Baptista; Olivier Zahm;
PUBLISHED: 2024, SOURCE: CoRR, VOLUME: abs/2406.13425
INDEXED IN: DBLP
IN MY: DBLP
6
TITLE: Learning Optimal Filters Using Variational Inference
AUTHORS: Enoch Luk; Eviatar Bach; Ricardo Baptista; Andrew Stuart;
PUBLISHED: 2024, SOURCE: CoRR, VOLUME: abs/2406.18066
INDEXED IN: DBLP
IN MY: DBLP
7
TITLE: Training and Certification of Competences through Serious Games
AUTHORS: Baptista, Ricardo; Coelho, Antonio; de Carvalho, Carlos Vaz;
PUBLISHED: 2024, SOURCE: COMPUTERS, VOLUME: 13, ISSUE: 8
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: ORCID | DBLP
8
TITLE: Conditional Sampling with Monotone GANs: From Generative Models to Likelihood-Free Inference
AUTHORS: Ricardo Baptista; Bamdad Hosseini; Nikola B Kovachki; Youssef M Marzouk;
PUBLISHED: 2024, SOURCE: SIAM/ASA J. Uncertain. Quantification, VOLUME: 12, ISSUE: 3
INDEXED IN: DBLP
IN MY: DBLP
9
TITLE: Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
AUTHORS: Hongkai Zheng; Wenda Chu; Austin Wang; Nikola B Kovachki; Ricardo Baptista; Yisong Yue;
PUBLISHED: 2024, SOURCE: CoRR, VOLUME: abs/2409.20175
INDEXED IN: DBLP
IN MY: DBLP
10
TITLE: Score-based Diffusion Models in Function Space
AUTHORS: 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;
PUBLISHED: 2023, SOURCE: CoRR, VOLUME: abs/2302.07400
INDEXED IN: DBLP
IN MY: DBLP
Page 1 of 4. Total results: 34.

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