Stephan Hoyer: Improving PDE solvers and PDE constrained optimization with deep learning and
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences Improving PDE solvers and PDEconstrained optimization with deep learning and differentiable programming Stephan Hoyer Google Inc. Abstract: Deep learning is different from other machine learning methods: it can be blended seamlessly into larger programs that are optimized endtoend, an emerging paradigm known as differentiable programming. This paradigm is particularly advantageou
|
|