Physics Inspired Machine Learning
Siddhartha Mishra
2023 Invited talk
in
Workshop: Physics for Machine Learning
in
Workshop: Physics for Machine Learning
Abstract
Physical systems, concepts and principles are increasingly being used in devising novel and robust machine learning architectures. We illustrate this point with examples from two ML domains: sequence modeling and graph representation learning. In both cases, we demonstrate how physical concepts such oscillators and multi-scale dynamics can lead to ML architectures that not only mitigate problems that plague these learning tasks but also provide competitive performance.
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