2025/04/30(Wed) 15:00 -16:20 七樓研討室 7F, P7A Seminar Room
Title
Machine Learning Techniques in Physics
Speaker
Dr. Ivan Kharuk (Institute for Nuclear Research of the Russian Academy of Sciences)Abstract
Machine learning techniques has evolved beyond conventional classification and regression paradigms. The corresponding examples include:
- Variational Autoencoders and Generative Adversarial Networks for anomaly detection;
- Invertible Neural Networks as alternatives to Markov Chain Monte Carlo methods;
- Physics-informed neural networks for determining medium characteristics and solving partial differential equations;
- Unsupervised clustering and classification techniques;
I will start with foundational principles of neural networks and proceed to the discussion of the above mentioned techniques, with focus on physic-related applications.
Language
演講語言 (Language): in English