Rafael Orozco

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Variational Inference

Pattern Matching

Diffusion Model

Memory Efficient

Top Venues

Adv. Model. Simul. Eng. Sci.

Publications

Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
WISE: full-Waveform variational Inference via Subsurface Extensions. CoRR (2024)
Huseyin Tuna Erdinc, Rafael Orozco, Felix J. Herrmann
Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models. CoRR (2024)
Rafael Orozco, Felix J. Herrmann, Peng Chen
Probabilistic Bayesian optimal experimental design using conditional normalizing flows. CoRR (2024)
Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann
sequestration. CoRR (2024)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. CoRR (2024)
Ziyi Yin, Rafael Orozco, Felix J. Herrmann
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction. CoRR (2024)
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Medical Imaging: Image Processing (2023)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. CoRR (2023)
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL (2023)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann
Inference of CO2 flow patterns - a feasibility study. CoRR (2023)
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
Learned multiphysics inversion with differentiable programming and machine learning. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR (2023)
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics. CoRR (2023)
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann
Reliable amortized variational inference with physics-based latent distribution correction. CoRR (2022)
Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging. CoRR (2022)
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
Accelerating innovation with software abstractions for scalable computational geophysics. CoRR (2022)
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann
Extended source imaging, a unifying framework for seismic & medical imaging. CoRR (2020)
Olivia Del Guercio, Rafael Orozco, Alex Sim, John Wu
Multidimensional Compression with Pattern Matching. DCC (2019)
Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu
Similarity-based Compression with Multidimensional Pattern Matching. SNTA@HPDC (2019)
Rafael Orozco, Shuangwen Sheng, Caleb Phillips
Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data. ICPHM (2018)