YoVDO

Uncertainty Quantification Courses

Neural Differentiable Physics: Unifying Numerical PDEs and Deep Learning for Data-Augmented Computational Physics
Inside Livermore Lab via YouTube
AutoEncoders for Aerodynamic Predictions
Inside Livermore Lab via YouTube
How Could We Design Aligned and Provably Safe AI?
Inside Livermore Lab via YouTube
Probabilistic Methods for Data-Driven Reduced-Order Modeling
Inside Livermore Lab via YouTube
Challenges and Opportunities for Integrating Physics-Knowledge in Machine Learning Strategies
Inside Livermore Lab via YouTube
Physics-Enhanced Gaussian Processes for Learning of Electromechanical Systems
Inside Livermore Lab via YouTube
Derivative-Informed Neural Operators for Solving PDE-Governed Optimization Problems
Inside Livermore Lab via YouTube
Leveraging Latent Representations for Predictive Physics-Based Modeling
Inside Livermore Lab via YouTube
Data-Driven Modeling of Unknown Systems with Deep Neural Networks
Inside Livermore Lab via YouTube
ML-driven Models for Material Microstructure and Mechanical Behavior - DDPS
Inside Livermore Lab via YouTube
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