Mohamed Aziz Bhouri

1. Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
   2021/03/04 by Mohamed Aziz Bhouri, Paris Perdikaris, Bhouri, Mohamed Aziz +1 · 4 citations
   Computer Science · Engineering · #Control Systems and Identification #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
2. Fast PDE-constrained optimization via self-supervised operator learning
   2021/10/25 by Sifan Wang, Wang, Sifan, Mohamed Aziz Bhouri +3 · 5 citations
   Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Heat Transfer and Optimization #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
3. ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
   2023/06/14 by Sungduk Yu, Yu, Sungduk, Z W Hu +91 · 6 citations
   Earth and Planetary Sciences · Physics and Astronomy · Environmental Science · #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Hydrological Forecasting Using AI
4. Bayesian differential programming for robust systems identification under uncertainty
   2020/04/15 by Yibo Yang, Mohamed Aziz Bhouri, Yang, Yibo +3 · 3 citations
   Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Multi-fidelity climate model parameterization for better generalization and extrapolation
   2023/09/19 by Mohamed Aziz Bhouri, Liran Peng, Bhouri, Mohamed Aziz +5 · 1 citation
   Earth and Planetary Sciences · Engineering · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations