Advanced Machine Learning for Physics and Scientific Discovery (PW-ML)10 ECTS
(englische Bezeichnung: Advanced Machine Learning for Physics and Scientific Discovery)

Lehrveranstaltungen:

• • Advanced Machine Learning for Physics and Scientific Discovery
    (Hauptseminar, 4 SWS, Florian Marquardt, Mo, Mi, 18:00 - 19:30)

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

Lernziele und Kompetenzen:

Learning goals and competences:
Students

• explain the relevant topics of the lecture

• apply the methods to specific examples

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

1. Materials Physics (Master of Science)
   (Po-Vers. 2015s | NatFak | Materials Physics (Master of Science) | Gesamtkonto | Materials physics elective course | Advanced Machine Learning for Physics and Scientific Discovery)

Studien-/Prüfungsleistungen:

Advanced Machine Learning for Physics and Scientific Discovery (Prüfungsnummer: 71191)

Prüfungsleistung, Klausur, Dauer (in Minuten): 120, benotet, 10 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

Prüfungssprache: Englisch

Erstablegung: WS 2021/2022, 1. Wdh.: WS 2021/2022 (nur für Wiederholer)

1. Prüfer:

Florian Marquardt