Focus on:  Hide Contributions
Login

Origins Data Science ML Block Course

→ Europe/Berlin
Baran Hashemi (ORIGINS Cluster Munich), Nicole Hartman (TUM)
Description

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.

Registration
Participants
59
Register
Participants
  • 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
Powered by Indico v3.3.9