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Clement Etienam
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Journal Articles
- 2024
- [j1]Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin
:
Fast deep mixtures of Gaussian process experts. Mach. Learn. 113(3): 1483-1508 (2024)
Conference and Workshop Papers
- 2022
- [c1]Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam:
LIPS - Learning Industrial Physical Simulation benchmark suite. NeurIPS 2022
Informal and Other Publications
- 2024
- [i6]Clement Etienam, Juntao Yang, Issam Said, Oleg Ovcharenko, Kaustubh Tangsali, Pavel Dimitrov, Ken Hester:
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts - NVIDIA Modulus based Physics Informed Neural Operator Forward Model. CoRR abs/2404.14447 (2024) - [i5]Clement Etienam, Juntao Yang, Oleg Ovcharenko, Issam Said:
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model. CoRR abs/2406.00889 (2024) - 2021
- [i4]Clement Etienam, Siying Shen, Edward J. O'Dwyer, Joshua Sykes:
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC. CoRR abs/2101.07655 (2021) - 2020
- [i3]Clement Etienam, Kody J. H. Law, Sara Wade:
Ultra-fast Deep Mixtures of Gaussian Process Experts. CoRR abs/2006.13309 (2020) - 2019
- [i2]David E. Bernholdt, Mark R. Cianciosa, Clement Etienam, David L. Green, Kody J. H. Law, Jin Myung Park:
Cluster, Classify, Regress: A General Method For Learning Discountinous Functions. CoRR abs/1905.06220 (2019) - [i1]Clement Etienam:
4D Seismic History Matching Incorporating Unsupervised Learning. CoRR abs/1905.07469 (2019)
Coauthor Index

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