Rafael Orozco
Rafael Orozco
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Diagnostic models for wind turbine gearbox components using scada time series data
R Orozco, S Sheng, C Phillips
2018 IEEE International Conference on Prognostics and Health Management …, 2018
Feature-based data assimilation in geophysics
M Morzfeld, J Adams, S Lunderman, R Orozco
Nonlinear Processes in Geophysics 25 (2), 355-374, 2018
Reliable amortized variational inference with physics-based latent distribution correction
A Siahkoohi, G Rizzuti, R Orozco, FJ Herrmann
Geophysics 88 (3), R297-R322, 2023
Amortized normalizing flows for transcranial ultrasound with uncertainty quantification
R Orozco, M Louboutin, A Siahkoohi, G Rizzuti, T van Leeuwen, ...
arXiv preprint arXiv:2303.03478, 2023
Photoacoustic imaging with conditional priors from normalizing flows
R Orozco, A Siahkoohi, G Rizzuti, T van Leeuwen, FJ Herrmann
NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification
R Orozco, A Siahkoohi, G Rizzuti, T van Leeuwen, FJ Herrmann
Medical Imaging 2023: Image Processing 12464, 357-367, 2023
Solving multiphysics-based inverse problems with learned surrogates and constraints
Z Yin, R Orozco, M Louboutin, FJ Herrmann
Advanced Modeling and Simulation in Engineering Sciences 10 (1), 14, 2023
Learned multiphysics inversion with differentiable programming and machine learning
M Louboutin, Z Yin, R Orozco, TJ Grady, A Siahkoohi, G Rizzuti, PA Witte, ...
The Leading Edge 42 (7), 474-486, 2023
Inference of CO2 flow patterns–a feasibility study
AP Gahlot, HT Erdinc, R Orozco, Z Yin, FJ Herrmann
arXiv preprint arXiv:2311.00290, 2023
Accelerating innovation with software abstractions for scalable computational geophysics
M Louboutin, P Witte, A Siahkoohi, G Rizzuti, Z Yin, R Orozco, ...
Second International Meeting for Applied Geoscience & Energy, 1482-1486, 2022
Wave-equation-based inversion with amortized variational bayesian inference
A Siahkoohi, R Orozco, G Rizzuti, FJ Herrmann
arXiv preprint arXiv:2203.15881, 2022
Refining amortized posterior approximations using gradient-based summary statistics
R Orozco, A Siahkoohi, M Louboutin, FJ Herrmann
arXiv preprint arXiv:2305.08733, 2023
Memory efficient invertible neural networks for 3D photoacoustic imaging
R Orozco, M Louboutin, FJ Herrmann
arXiv preprint arXiv:2204.11850, 2022
Extended source imaging—A unifying framework for seismic and medical imaging
Z Yin, R Orozco, P Witte, M Louboutin, G Rizzuti, FJ Herrmann
SEG Technical Program Expanded Abstracts 2020, 3502-3506, 2020
WISE: full-Waveform variational Inference via Subsurface Extensions
Z Yin, R Orozco, M Louboutin, FJ Herrmann
arXiv preprint arXiv:2401.06230, 2023
Scada data modeling for wind turbine gearbox failure detection using machine learning and big data technologies
R Orozco, SS Sheng, CT Phillips, L Williams
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020
Probabilistic Bayesian optimal experimental design using conditional normalizing flows
R Orozco, FJ Herrmann, P Chen
arXiv preprint arXiv:2402.18337, 2024
InvertibleNetworks. jl: A Julia package for scalable normalizing flows
R Orozco, P Witte, M Louboutin, A Siahkoohi, G Rizzuti, B Peters, ...
arXiv preprint arXiv:2312.13480, 2023
Multidimensional Compression with Pattern Matching
O Del Guercio, R Orozco, A Sim, K Wu
2019 Data Compression Conference (DCC), 567-567, 2019
BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows a case study in optimal monitor well placement for CO sequestration
R Orozco, A Gahlot, FJ Herrmann
arXiv preprint arXiv:2404.00075, 2024
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