Ziyi Yin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Variational Inference

False Detections

Inverse Problems

Medical Imaging

Top Venues

Adv. Model. Simul. Eng. Sci.

Comput. Geosci.

Publications

Ziyi Yin, Mathias Louboutin, Olav Møyner, Felix J. Herrmann
Time-lapse full-waveform permeability inversion: a feasibility study. CoRR (2024)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
WISE: full-Waveform variational Inference via Subsurface Extensions. CoRR (2024)
Ziyi Yin, Rafael Orozco, Felix J. Herrmann
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction. CoRR (2024)
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann
Solving multiphysics-based inverse problems with learned surrogates and constraints. CoRR (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)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. Comput. Geosci. 178 (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)
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators. 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)
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. CoRR (2022)
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, Felix J. Herrmann
De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection. CoRR (2022)
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images. CoRR (2022)
Ziyi Yin, Mathias Louboutin, Felix J. Herrmann
Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model. CoRR (2021)
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)