Special seminar on physics and machine learning: Eric Vanden-Eijnden (NYU)
Bloomberg 462Physics for ML and ML for Physics The recent success of machine learning suggests that neural networks may be capable of approximating some high-dimensional functions with controllably small errors, a feat that is poised to have a transformative impact on computational physics. At the same time, tools and concepts from the Physics can help understand […]