DDPS | “Multi-fidelity linear regression for scientific machine learning from scarce data”

(1:8)

DDPS | Data-driven multi-scale simulations for materials-by-design of energetic materials |Udaykumar

(1:10:26)

DDPS | “Machine-Precision Neural Networks for Multiscale Dynamics”

(1:8:41)

DDPS | Machine Learning and Multi-scale Modeling

(1:5:23)

DDPS | Learning hierarchies of reduced-dimension and context-aware models for Monte Carlo sampling

(59:6)

DDPS | Learning to accelerate large-scale physical simulations in fluid and plasma physics

(1:10:7)

DDPS | Machine Learning and Physics-based Simulations – Yin and Yang of Industrial Digit

(1:15:15)

DDPS | “AutoEncoders for Aerodynamic Predictions”

(1:4:37)

DDPS | “A DDPS Engineering Approach for Supply Chain Management and Enterprise-Wide Optimization”

(1:2:19)

DDPS | ML for Solving PDEs: Neural Operators on Function Spaces by Anima Anandkumar

(51:33)

DDPS | Deep neural operators with reliable extrapolation for multiphysics \u0026 multiscale problems

(59:40)

DDPS | “A first-principles approach to understanding deep learning”

(1:17:33)

DDPS | 'Probabilistic methods for data-driven reduced-order modeling'

(1:7:35)

DDPS | Multi-scale modeling and neural operators by Kaushik Bhattacharya

(58:18)

DDPS | Neural Differentiable Physics

(1:28:24)

DDPS | Deep learning for reduced order modeling

(1:9:49)

DDPS | Towards Robust, Accurate \u0026 Tractable Reduced-Order Models

(59:56)

DDPS | Learning paradigms for neural networks: The locally backpropagated forward-forward algorithm

(56:40)

DDPS | libROM: Library for physics-constrained data-driven physical simulations | Youngsoo Choi

(1:7:31)

DDPS | Schwarz alternating method as a means for concurrent multiscale coupling in solid mechanics

(1:6:52)