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Maximilian Ruth - A Statistical Magnetohydrodynamic Equilibrium Model - IPAM at UCLA
Presenter
- Maximilian Ruth
March 25, 2026
IPAM
Ben Zhu - A multi-fidelity approach in boundary plasma modeling - IPAM at UCLA
Presenter
- Ben Zhu
March 24, 2026
IPAM
Victor Artigues - Plasma Turbulence in TensorFlow: Reduced Models and Optimization - IPAM at UCLA
Presenter
- Victor Artigues
March 23, 2026
IPAM
Elizabeth Qian - Multifidelity control variates for supervised learning - IPAM at UCLA
Presenter
- Elizabeth Qian
March 23, 2026
IPAM
Amanda Howard - Multifidelity, domain decomposition, stacking for training physics-informed networks
Presenter
- Amanda Howard
March 23, 2026
IPAM
Bryan Reuter - Enhancing Particle-Based Kinetic Methods Through Multifidelity Discretizations
Presenter
- Bryan Reuter
March 23, 2026
IPAM
Latent Variable Gaussian Process (LVGP) for Adaptive, Interpretable, and Multi-Fidelity Design of Emerging Materials and Structures
Presenter
- Wei Chen
April 1, 2025
IMSI
Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications
Presenter
- Xiaoye Li
September 13, 2025
ICERM
Leveraging machine learning techniques to support planning and emergency response management for storm surge risk
Presenter
- Alex Taflanidis
March 3, 2025
IMSI
Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML
Presenter
- Anh Tran
April 22, 2025
IMSI
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Presenter
- Maziar Raissi
October 29, 2019
IPAM