Clement Etienam

According to our database, Clement Etienam authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fast deep mixtures of Gaussian process experts.

Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin

Mach. Learn., 2024

Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model.

Clement Etienam, Juntao Yang, Oleg Ovcharenko, Issam Said

CoRR, 2024

A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts - NVIDIA Modulus based Physics Informed Neural Operator Forward Model.

Clement Etienam, Juntao Yang, Issam Said, Oleg Ovcharenko, Kaustubh Tangsali, Pavel Dimitrov, Ken Hester

CoRR, 2024

2022

LIPS - Learning Industrial Physical Simulation benchmark suite.

Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC.

Clement Etienam, Siying Shen, Edward J. O'Dwyer, Joshua Sykes

CoRR, 2021

2020

Ultra-fast Deep Mixtures of Gaussian Process Experts.

Clement Etienam, Kody J. H. Law, Sara Wade

CoRR, 2020

2019

4D Seismic History Matching Incorporating Unsupervised Learning.

Clement Etienam

CoRR, 2019

Cluster, Classify, Regress: A General Method For Learning Discountinous Functions.

David E. Bernholdt, Mark R. Cianciosa, Clement Etienam, David L. Green, Kody J. H. Law, Jin Myung Park

CoRR, 2019