Rafael Orozco

According to our database, Rafael Orozco authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InvertibleNetworks.jl: A Julia package for scalable normalizing flows.

Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann

J. Open Source Softw., 2024

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring.

Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Felix J. Herrmann

CoRR, 2024

Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models.

Huseyin Tuna Erdinc, Rafael Orozco, Felix J. Herrmann

CoRR, 2024

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction.

Ziyi Yin, Rafael Orozco, Felix J. Herrmann

CoRR, 2024

ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems.

Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2024

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO₂ sequestration.

Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann

CoRR, 2024

Probabilistic Bayesian optimal experimental design using conditional normalizing flows.

Rafael Orozco, Felix J. Herrmann, Peng Chen

CoRR, 2024

WISE: full-Waveform variational Inference via Subsurface Extensions.

Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann

CoRR, 2024

2023

Solving multiphysics-based inverse problems with learned surrogates and constraints.

Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann

Adv. Model. Simul. Eng. Sci., December, 2023

Inference of CO2 flow patterns - a feasibility study.

Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann

CoRR, 2023

Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics.

Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2023

Learned multiphysics inversion with differentiable programming and machine learning.

Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, Felix J. Herrmann

CoRR, 2023

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.

Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.

Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Reliable amortized variational inference with physics-based latent distribution correction.

Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging.

Rafael Orozco, Mathias Louboutin, Felix J. Herrmann

CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.

Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

2020

Extended source imaging, a unifying framework for seismic & medical imaging.

Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020

2019

Similarity-based Compression with Multidimensional Pattern Matching.

Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu

Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Multidimensional Compression with Pattern Matching.

Olivia Del Guercio, Rafael Orozco, Alex Sim, K. John Wu

Proceedings of the Data Compression Conference, 2019

2018

Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data.

Rafael Orozco, Shuangwen Sheng, Caleb Phillips

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018