| 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 | 44 | 2018 |
| Feature-based data assimilation in geophysics M Morzfeld, J Adams, S Lunderman, R Orozco Nonlinear Processes in Geophysics 25 (2), 355-374, 2018 | 26 | 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 | 17 | 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 | 10 | 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 | 8 | 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 | 7 | 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 | 6 | 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 | 6 | 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 | 5 | 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 | 5 | 2022 |
| Wave-equation-based inversion with amortized variational bayesian inference A Siahkoohi, R Orozco, G Rizzuti, FJ Herrmann arXiv preprint arXiv:2203.15881, 2022 | 5 | 2022 |
| Refining amortized posterior approximations using gradient-based summary statistics R Orozco, A Siahkoohi, M Louboutin, FJ Herrmann arXiv preprint arXiv:2305.08733, 2023 | 4 | 2023 |
| Memory efficient invertible neural networks for 3D photoacoustic imaging R Orozco, M Louboutin, FJ Herrmann arXiv preprint arXiv:2204.11850, 2022 | 3 | 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 | 3 | 2020 |
| WISE: full-Waveform variational Inference via Subsurface Extensions Z Yin, R Orozco, M Louboutin, FJ Herrmann Geophysics 89 (4), 1-31, 2024 | 2 | 2024 |
| Probabilistic Bayesian optimal experimental design using conditional normalizing flows R Orozco, FJ Herrmann, P Chen arXiv preprint arXiv:2402.18337, 2024 | 2 | 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 | 2 | 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 | 2 | 2020 |
| Multidimensional Compression with Pattern Matching O Del Guercio, R Orozco, A Sim, K Wu 2019 Data Compression Conference (DCC), 567-567, 2019 | 1 | 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 | | 2024 |
Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and EngineeringVerified email at gatech.edu
