Mohamed Aziz Bhouri

According to our database, Mohamed Aziz Bhouri authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming.

Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine

CoRR, 2024

2023

Multi-fidelity climate model parameterization for better generalization and extrapolation.

Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine

CoRR, 2023

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.

CoRR, 2023

Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks.

Mohamed Aziz Bhouri, Michael Joly, Robert Yu, Soumalya Sarkar, Paris Perdikaris

CoRR, 2023

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation.

Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96.

Mohamed Aziz Bhouri, Pierre Gentine

CoRR, 2022

2021

Fast PDE-constrained optimization via self-supervised operator learning.

Sifan Wang, Mohamed Aziz Bhouri, Paris Perdikaris

CoRR, 2021

Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data.

Mohamed Aziz Bhouri, Paris Perdikaris

CoRR, 2021

2020

Model-Order-Reduction Approach for Structural Health Monitoring of Large Deployed Structures with Localized Operational Excitations.

Mohamed Aziz Bhouri

CoRR, 2020

Bayesian differential programming for robust systems identification under uncertainty.

Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris

CoRR, 2020

A Certified Two-Step Port-Reduced Reduced-Basis Component Method for Wave Equation and Time Domain Elastodynamic PDE.

Mohamed Aziz Bhouri

CoRR, 2020

2016

Footstep energy harvesting using heel strike-induced airflow for human activity sensing.

Hailing Fu, Kun Cao, Ruize Xu, Mohamed Aziz Bhouri, Ricardo Martinez-Botas, Sang-Gook Kim, Eric M. Yeatman

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016