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Advanced Machine Learning for Physics and Scientific Discovery
- Dozent/in
- Prof. Dr. Florian Marquardt
- Angaben
- Hauptseminar
Online 4 SWS, ECTS-Studium, ECTS-Credits: 10
nur Fachstudium, Sprache Englisch, Prüfungsform: schriftlich / written exam
Zeit: Mo, Mi 18:00 - 19:30
- Studienfächer / Studienrichtungen
- WF Ph-BA ab 5 (ECTS-Credits: 10)
WF Ph-MA ab 1 (ECTS-Credits: 10)
- Inhalt
- 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-Informationen:
- Credits: 10
- Zusätzliche Informationen
- 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)
- Institution: Lehrstuhl für Theoretische Physik (Prof. Dr. Marquardt)
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