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Philipp A. Witte
Philipp A. Witte
Microsoft AI
Verified email at microsoft.com
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Year
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ...
arXiv preprint arXiv:2404.14219, 2024
7802024
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
2232019
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
1652020
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
652019
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
41*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
402017
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
392021
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
372023
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
352019
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
272020
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
272018
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
242018
Faster uncertainty quantification for inverse problems with conditional normalizing flows
A Siahkoohi, G Rizzuti, PA Witte, FJ Herrmann
arXiv preprint arXiv:2007.07985, 2020
222020
Fast CO2 saturation simulations on large-scale geomodels with artificial intelligence-based Wavelet Neural Operators
PA Witte, T Konuk, E Skjetne, R Chandra
International Journal of Greenhouse Gas Control 126, 103880, 2023
182023
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
172022
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
172016
Deep-learning-based 3D fault detection for carbon capture and storage
H Kaur, Q Zhang, P Witte, L Liang, L Wu, S Fomel
Geophysics 88 (4), IM101-IM112, 2023
152023
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
152020
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
Learned multiphysics inversion with differentiable programming and machine learning
M Louboutin, Z Yin, R Orozco, TJ Grady, A Siahkoohi, G Rizzuti, PA Witte, ...
The Leading Edge 42 (7), 474-486, 2023
122023
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