Lindsey J. Heagy

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Toward Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields.
IEEE Trans. Geosci. Remote. Sens.
Anran Xu, Lindsey J. Heagy
2025 J jnl
Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields.
CoRR
Anran Xu, Lindsey J. Heagy
2024 J jnl
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem With a Convolutional Neural Network.
IEEE Trans. Geosci. Remote. Sens.
Anran Xu, Lindsey J. Heagy
2024 J jnl
Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt_metadata.
J. Open Source Softw.
Karl N. Kappler, Jared R. Peacock, Gary D. Egbert, Andrew Frassetto, Lindsey J. Heagy, Anna Kelbert, Laura Keyson, Douglas Oldenburg, Timothy Ronan, Justin Sweet
2023 J jnl
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network.
CoRR
Anran Xu, Lindsey J. Heagy
2022 J jnl
Hybrid parametric/smooth inversion of electrical resistivity tomography data.
Comput. Geosci.
Teddi Herring, Lindsey J. Heagy, Adam Pidlisecky, Edwin Cey
2022 J jnl
MTH5: An archive and exchangeable data format for magnetotelluric time series data.
Comput. Geosci.
Jared R. Peacock, Karl N. Kappler, Lindsey J. Heagy, Timothy Ronan, Anna Kelbert, Andrew Frassetto
2020 J jnl
Joint geophysical, petrophysical and geologic inversion using a dynamic Gaussian mixture model.
CoRR
Thibaut Astic, Lindsey J. Heagy, Douglas W. Oldenburg
2020 — conf
Towards Interactive, Reproducible Analytics at Scale on HPC Systems.
UrgentHPC@SC
Shreyas Cholia, Lindsey J. Heagy, Matthew L. Henderson, Drew Paine, Jon Hays, Ludovico Bianchi, Devarshi Ghoshal, Fernando Pérez, Lavanya Ramakrishnan
2019 J jnl
Modeling electromagnetics on cylindrical meshes with applications to steel-cased wells.
Comput. Geosci.
Lindsey J. Heagy, Douglas W. Oldenburg
2018 J jnl
Efficient 3D inversions using the Richards equation.
Comput. Geosci.
Rowan Cockett, Lindsey J. Heagy, Eldad Haber
2017 J jnl
A framework for simulation and inversion in electromagnetics.
Comput. Geosci.
Lindsey J. Heagy, Rowan Cockett, Seogi Kang, Gudni K. Rosenkjaer, Douglas W. Oldenburg
2017 J jnl
A framework for the upscaling of the electrical conductivity in the quasi-static Maxwell's equations.
J. Comput. Appl. Math.
Luz Angelica Caudillo-Mata, Eldad Haber, Lindsey J. Heagy, Christoph Schwarzbach
2016 J jnl
A Framework for the Upscaling of the Electrical Conductivity in the Quasi-static Maxwell's Equations.
CoRR
Luz Angelica Caudillo-Mata, Eldad Haber, Lindsey J. Heagy, Christoph Schwarzbach
2015 J jnl
SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications.
Comput. Geosci.
Rowan Cockett, Seogi Kang, Lindsey J. Heagy, Adam Pidlisecky, Douglas W. Oldenburg