Clement Etienam

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Gaussian Process

Top Venues

Publications

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 (2024)
Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin
Fast deep mixtures of Gaussian process experts. Mach. Learn. 113 (3) (2024)
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 (2024)
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)
Clement Etienam, Siying Shen, Edward J. O'Dwyer, Joshua Sykes
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC. CoRR (2021)
Clement Etienam, Kody J. H. Law, Sara Wade
Ultra-fast Deep Mixtures of Gaussian Process Experts. CoRR (2020)
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 (2019)
Clement Etienam
4D Seismic History Matching Incorporating Unsupervised Learning. CoRR (2019)