Philipp A. Witte

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	Toate	Din 2020
Referințe bibliografice	1742	1631
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i10-index	22	19

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Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and EngineeringAdresă de e-mail confirmată pe gatech.edu
Mathias LouboutinSenior Solution Architect, DevitoCodes LtdAdresă de e-mail confirmată pe devitocodes.com
Gerard GormanImperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Fabio LuporiniCTO at Devito CodesAdresă de e-mail confirmată pe devitocodes.com
Navjot KukrejaUniversity of LiverpoolAdresă de e-mail confirmată pe liverpool.ac.uk
Michael LangeDepartment of Earth Science and Engineering, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Ali SiahkoohiSimons Postdoctoral Fellow, Rice UniversityAdresă de e-mail confirmată pe rice.edu
Gabrio RizzutiShearwater GeoservicesAdresă de e-mail confirmată pe shearwatergeo.com
Ranveer ChandraManaging Director, Research for Industry, GM Networking Research, Microsoft ResearchAdresă de e-mail confirmată pe microsoft.com
Ziyi YinKronosAIAdresă de e-mail confirmată pe kronosai.co
Russell HewettMicrosoftAdresă de e-mail confirmată pe microsoft.com
Jan HückelheimArgonne National LaboratoryAdresă de e-mail confirmată pe anl.gov
Zhilong FangUniversity of Electronic Science and Technology of ChinaAdresă de e-mail confirmată pe uestc.edu.cn
Rafael OrozcoPhD Candidate, Georgia Institute of TechnologyAdresă de e-mail confirmată pe gatech.edu
Paul KellyProfessor of Software Technology, Imperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Charles YountAdresă de e-mail confirmată pe acm.org
Tugrul KonukNVIDIAAdresă de e-mail confirmată pe nvidia.com
Keegan LensinkThe University of British ColumbiaAdresă de e-mail confirmată pe eoas.ubc.ca
George BisbasImperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Christiaan C. Stolkassociate professor Mathematics, University of AmsterdamAdresă de e-mail confirmată pe uva.nl

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Philipp A. Witte

Microsoft AI

Adresă de e-mail confirmată pe microsoft.com

Inverse Problems HPC AI Numerical modeling


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	788	2024
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	223	2019
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	165	2020
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	65	2019
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	40	2017
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	39	2021
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	37	2023
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	35	2019
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	27	2020
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	27	2018
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	24	2018
Faster uncertainty quantification for inverse problems with conditional normalizing flows A Siahkoohi, G Rizzuti, PA Witte, FJ Herrmann arXiv preprint arXiv:2007.07985, 2020	22	2020
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	18	2023
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	17	2022
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	17	2016
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	15	2023
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	15	2020
Effects of wrong adjoints for RTM in TTI media M Louboutin, P Witte, FJ Herrmann SEG Technical Program Expanded Abstracts 2018, 331-335, 2018	14	2018
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	12	2023

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