Origins Data Science ML Block Course
The Origins Data Science Lab (ODSL) is organizing a block course on "Introduction to Machine Learning" targeted towards PhD students in physics. Interested MSc students from LMU and TUM are welcome as well.
The courses will take place in person at the Max Planck Institute for Physics (MPP) building at Forschungszentrum Garching. (Unless otherwise noted on the agenda), the lectures and tutorials will take place in person in the Alps room (A.1.01/03) which is the main auditorium located on the first floor of the MPP. After entering the building via its main entrance on the Boltzmannstrasse, please take the stairs to the right of the Heisenberg cafe to get to the first floor. When reaching the first floor, the main auditorium is directly on the right hand side and facing the Boltzmannstrasse.
The two-week introductory block course (24.02.2025 - 06.03.2025) will cover the following topics:
- First Week:
- Linear models, supervised learning
- Machine Learning theory (bias / variance trade-off)
- Intro to Neural Networks (universal approximation theorem, optimizers)
- Automatic differentiation, deep learning frameworks (e.g, pytorch)
- Classical clustering algorithms
- Second Week:
- Geometric Deep Learning
- Convolutional Neural Networks
- Graph Neural Networks
- Transformers
- Introduction to Deep Generative Models
Please Register for the Event using the Registration Link.
Lecturers:
- Nicole Hartman, nicole.hartman@tum.de
- Oliver Schulz (local Julia expert), oschulz@mpp.mpg.de
- Baran Hashemi, baran.hashemi@origins-cluster.de
Tutors:
- Malin Horstmann
- Matthias Vigl
- Richard Fochs
Forms of credit: ECTS points are available (details forthcoming). If you're taking the course for credit, homework exercises will be due 21.03.2025.
Certificates of participation will be provided on request.
Github: https://github.com/odsl-team/block-course-feb25-ML
^ for tutorials and homework exercises.
Zoom connection
https://tum-conf.zoom-x.de/j/68801976297?pwd=o3QxMRwpQOwsF1uSOerwZMVIHkbZTB.1
Meeting ID: 688 0197 6297
Passcode: 345436
We will connect to the zoom room for the lectures for a hybrid audience, but do tutorials (afternoon sessions) as in person only.
Alberto Saborido Patiño
Aleksandr Boger
Alina Fantauzzi
Aparna Sankar
Avalon Rego
Baran Hashemi
Benedikt Nagler
Carmine Montella
Cesar Hernandez-Aguayo
Chiara Bellenghi
Claudia Paladini
Cristina Lagunas Gualda
Daniel Buchin
Derek Strom
Dwaipayan Dubey
Elena Hernandez
Elena Manao
Eleonora Rebecca Cipelli
Fabien Widmer
Fabrizia Guglielmetti
Federico Casadei
Felipe Nathan de Oliveira Lopes
Francesco Grasso
Giacomo Contri
Hannah Dengler
Ilgaz Kuscu
Jarred Green
Josef Murnauer
Kübra Baş
Leonardo Bersigotti
Leonardos Gkouvelis
Luca Delussu
Luigi Pertoldi
Luka Skeledžija
Lukas Bierwirth
Marco Consonni
Marco Maria Zanirato
Markus Reif
Marta Pagano
Mikhail Mikhasenko
Nicole Hartman
Nicole Peschke
Olaf Reimann
Peter Hinderberger
Ricarda Riepen
Richard Piekara
Robert Neagu
Safiye Teymourzadeh
Sara Gamba
Sebastian Stammler
Sijin Chen
Stefan Heigl
Sumedh Mane
Theresa Reitz
Til Birnstiel
Tom Magorsch
Ulrich Walter
Vincenzo Ganci
Yang Gao
