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Philipp A. Witte
Philipp A. Witte
Microsoft Research
Dirección de correo verificada de microsoft.com
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Devito (v3. 1.0): an embedded domain-specific language for finite differences and geophysical exploration
M Louboutin, M Lange, F Luporini, N Kukreja, PA Witte, FJ Herrmann, ...
Geoscientific Model Development 12 (3), 1165-1187, 2019
1812019
Architecture and performance of Devito, a system for automated stencil computation
F Luporini, M Louboutin, M Lange, N Kukreja, P Witte, J Hückelheim, ...
ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-28, 2020
1302020
A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia
PA Witte, M Louboutin, N Kukreja, F Luporini, M Lange, GJ Gorman, ...
Geophysics 84 (3), F57-F71, 2019
562019
An event-driven approach to serverless seismic imaging in the cloud
PA Witte, M Louboutin, H Modzelewski, C Jones, J Selvage, FJ Herrmann
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2032-2049, 2020
36*2020
Full-waveform inversion, Part 1: Forward modeling
M Louboutin, P Witte, M Lange, N Kukreja, F Luporini, G Gorman, ...
The Leading Edge 36 (12), 1033-1036, 2017
352017
Compressive least-squares migration with on-the-fly Fourier transforms
PA Witte, M Louboutin, F Luporini, GJ Gorman, FJ Herrmann
Geophysics 84 (5), R655-R672, 2019
342019
Compressive least-squares migration with on-the-fly Fourier transforms
PA Witte, M Louboutin, F Luporini, GJ Gorman, FJ Herrmann
Geophysics 84 (5), R655-R672, 2019
342019
An event-driven approach to serverless seismic imaging in the cloud
PA Witte, M Louboutin, H Modzelewski, C Jones, J Selvage, FJ Herrmann
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2032-2049, 2020
302020
Preconditioned training of normalizing flows for variational inference in inverse problems
A Siahkoohi, G Rizzuti, M Louboutin, PA Witte, FJ Herrmann
arXiv preprint arXiv:2101.03709, 2021
282021
Full-waveform inversion, part 3: Optimization
P Witte, M Louboutin, K Lensink, M Lange, N Kukreja, F Luporini, ...
The Leading Edge 37 (2), 142-145, 2018
242018
Parameterizing uncertainty by deep invertible networks: An application to reservoir characterization
G Rizzuti, A Siahkoohi, PA Witte, FJ Herrmann
SEG International Exposition and Annual Meeting, D031S057R006, 2020
222020
Full-waveform inversion, Part 2: Adjoint modeling
M Louboutin, P Witte, M Lange, N Kukreja, F Luporini, G Gorman, ...
The Leading Edge 37 (1), 69-72, 2018
202018
Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs
TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ...
Computers & Geosciences 178, 105402, 2023
162023
Faster uncertainty quantification for inverse problems with conditional normalizing flows
A Siahkoohi, G Rizzuti, PA Witte, FJ Herrmann
arXiv preprint arXiv:2007.07985, 2020
162020
Time-domain sparsity-promoting least-squares migration with source estimation
M Yang, P Witte, Z Fang, F Herrmann
SEG International Exposition and Annual Meeting, SEG-2016-13850609, 2016
162016
Towards large-scale learned solvers for parametric pdes with model-parallel fourier neural operators
TJ Grady, R Khan, M Louboutin, Z Yin, PA Witte, R Chandra, RJ Hewett, ...
arXiv preprint arXiv:2204.01205, 2022
142022
Effects of wrong adjoints for RTM in TTI media
M Louboutin, P Witte, FJ Herrmann
SEG Technical Program Expanded Abstracts 2018, 331-335, 2018
142018
Time‐domain sparsity promoting least‐squares reverse time migration with source estimation
M Yang, Z Fang, P Witte, FJ Herrmann
Geophysical Prospecting 68 (9), 2697-2711, 2020
122020
Event-driven workflows for large-scale seismic imaging in the cloud
PA Witte, M Louboutin, H Modzelewski, C Jones, J Selvage, FJ Herrmann
SEG Technical Program Expanded Abstracts 2019, 3984-3988, 2019
122019
A non-weight based, Manufacturing Influenced Design (MIND) methodology for preliminary design
J Ceisel, P Witte, T Carr, S Pogaru, DN Mavris
Proceedings of the 28th Congress of the International Council of the …, 2012
102012
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Artículos 1–20