Advanced Machine Learning for Physics and Scientific Discovery- Lecturer
- Prof. Dr. Florian Marquardt
- Details
- Hauptseminar
Online
4 cred.h, ECTS studies, ECTS credits: 10
nur Fachstudium, Sprache Englisch, Prüfungsform: schriftlich / written exam
Zeit: Mon, Wed 18:00 - 19:30
- Fields of study
- WF Ph-BA ab 5 (ECTS-Credits: 10)
WF Ph-MA ab 1 (ECTS-Credits: 10)
- Contents
- We will describe advanced modern methods of artificial intelligence and their potential application to artificial scientific discovery, in physics and other fields. This includes:
representation learning (including deep variational autoencoders etc.) active learning (how a neural network can choose suitable training samples on its own) reinforcement learning and optimization methods graph neural networks generative neural networks (learning to sample from an observed statistical distribution) transformers and other attention-based methods advanced concepts from information science and statistics (e.g. mutual information) automated program discovery applications in quantum physics, statistical physics, dynamical systems
- ECTS information:
- Credits: 10
- Additional information
- www: https://pad.gwdg.de/2021_AdvancedMachineLearningForScience?view
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2021/2022:
- Advanced Machine Learning for Physics and Scientific Discovery (PW-ML)
- Department: Lehrstuhl für Theoretische Physik (Prof. Dr. Marquardt)
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