Hamiltonian Monte Carlo solution of tomographic inverse problems A Fichtner, A Zunino, L Gebraad Geophysical Journal International 216 (2), 1344-1363, 2019 | 118 | 2019 |
Bayesian elastic Full-Waveform Inversion using Hamiltonian Monte Carlo L Gebraad, C Boehm, A Fichtner EarthArXiv, qftn5, 2019 | 103 | 2019 |
Autotuning Hamiltonian Monte Carlo for efficient generalized nullspace exploration A Fichtner, A Zunino, L Gebraad, C Boehm Geophysical Journal International 227 (2), 941-968, 2021 | 19 | 2021 |
HMCLab: a framework for solving diverse geophysical inverse problems using the Hamiltonian Monte Carlo method A Zunino, L Gebraad, A Ghirotto, A Fichtner Geophysical Journal International 235 (3), 2979-2991, 2023 | 5 | 2023 |
Seamless GPU Acceleration for C++‐Based Physics with the Metal Shading Language on Apple’s M Series Unified Chips L Gebraad, A Fichtner Seismological Society of America 94 (3), 1670-1675, 2023 | 5 | 2023 |
Binary classification of spoken words with passive elastic metastructures T Dubček, D Moreno-Garcia, T Haag, HR Thomsen, TS Becker, ... arXiv preprint arXiv:2111.08503, 2021 | 4 | 2021 |
A tutorial introduction to the Hamiltonian Monte Carlo solution of weakly nonlinear inverse problems A Fichtner, A Zunino, L Gebraad EarthArXiv, 2018 | 4 | 2018 |
In‐Sensor Passive Speech Classification with Phononic Metamaterials T Dubček, D Moreno‐Garcia, T Haag, P Omidvar, HR Thomsen, ... Advanced Functional Materials 34 (17), 2311877, 2024 | 3 | 2024 |
Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland S Klaasen, S Thrastarson, Y Çubuk-Sabuncu, K Jónsdóttir, L Gebraad, ... Volcanica 6 (2), 301-311, 2023 | 2 | 2023 |
Borehole fibre-optic seismology inside the Northeast Greenland Ice Stream A Fichtner, C Hofstede, L Gebraad, A Zunino, D Zigone, O Eisen Geophysical Journal International 235 (3), 2430-2441, 2023 | 1 | 2023 |
psvWave: Elastic wave propagation in 2d for Python and C++ L Gebraad, A Fichtner EarthArXiv, 2022 | 1 | 2022 |
An Analysis of Normal-Mode Based 3-D Mantle Density Models using Hamiltonian Monte Carlo Methods R van Tent, AF Deuss, A Fichtner, L Gebraad, J Trampert AGU Fall Meeting Abstracts 2020, DI005-0003, 2020 | 1 | 2020 |
Auto-tuning Hamiltonian Monte Carlo A Fichtner, L Gebraad, C Boehm, A Zunino EGU General Assembly conference abstracts 7735, 2020 | 1 | 2020 |
Global full-waveform inversion reveals previously undetected positive wave speed anomalies beneath the Pacific Ocean T Schouten, L Gebraad, S Noe, A Gülcher, S Thrastarson, ... EGU24, 2024 | | 2024 |
Differential arrival times for event location with DAS data E Bozzi, N Piana Agostinetti, A Fichtner, L Gebraad, T Kiers, T Nishimura, ... | | 2024 |
Randomising in and over Seismology L Gebraad ETH Zurich, 2024 | | 2024 |
Differential arrival times for source location with DAS arrays: tests on data selection and automatic weighting procedure E Bozzi, N Agostinetti, G Saccorotti, A Fichtner, L Gebraad, T Kiers, ... Copernicus Meetings, 2024 | | 2024 |
HMCLab: Solving Diverse Geophysical Inverse Problems Using (Hamiltonian) Monte Carlo Methods A Zunino, L Gebraad, A Ghirotto, A Fichtner XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | | 2023 |
Solving larger seismic inverse problems with smarter methods L Gebraad, DP van Herwaarden, S Thrastarson, A Fichtner Applications of Data Assimilation and Inverse Problems in the Earth Sciences …, 2023 | | 2023 |
Volcano monitoring and modelling using Distributed Acoustic Sensing (DAS) on a subglacial volcano: Grímsvötn, Iceland S Klaasen, S Thrastarson, Y Cubuk-Sabuncu, K Jónsdóttir, L Gebraad, ... XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | | 2023 |