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Description: Our weather or climate system is a high-dimensional, multi-scale, chaotic, dynamical system which presents a ... In this talk from July 15, 2021, Brown University assistant professor Yeonjong Shin discusses the development of robust and ... Description: Multi-scale modeling is an ambitious program that aims at unifying the different physical models at different scales for ... In this talk from July 1, 2021, University of Texas at Austin associate professor Tan Bui-Thanh discusses model-constrained
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DDPS | Learning paradigms for neural networks: The locally backpropagated forward-forward algorithm
DDPS | The problem with deep learning for physics (and how to fix it) by Miles Cranmer
DDPS | A mathematical understanding of modern Machine Learning: theory, algorithms and applications
DDPS | Bridging Models and Data: Assimilation, Model Hierarchies, Causal Inference & Digital Twins
DDPS | Machine Learning and Multi-scale Modeling
DDPS | “Machine-Precision Neural Networks for Multiscale Dynamics”
AI Meets Physics: The Future of Earth System Modeling and Prediction
DDPS | “Machine Learning for Molecules and Materials”
DDPS | Model-constrained deep learning approaches for inference, control and UQ
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Last Updated: June 20, 2026
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