Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Seminar: Optimization and Generalization in Deep Learning

Seminar for computer science master students (IN2107).

Update (Oct 8): initial meeting shifted to October 29, 4.15pm-5.45pm, room 02.09.023


Modern deep learning methods have shown remarkable success in various domains of machine learning. However, our theoretical understanding of such methods remains rather shallow. Recently, novel ideas to better understand aspects of optimization and generalization in these models have emerged that require rethinking classical concepts in these domains. A prominent example is the implicit bias of optimization methods in an overparameterized regime. We will discuss such ideas from the computational and statistical viewpoint.

Material and Schedule

Seminar material and the schedule can be accessed here.


  • Date: Wednesday, July 17, 2019
  • Time: 4.15pm
  • Location: 02.09.023
Initial meeting
  • Date: Tuesday, October 29, 2019
  • Time: 4.15pm-5.45pm
  • Location: 02.09.023
  • Registration is done via the TUM matching platform
  • Attendance in the seminar sessions is mandatory
  • Preference is given to students with with a pertinent background in relevant fields of applied mathematics (Linear Algebra, Analysis, Numerical Optimization, Probability/Stats) and prior exposure to deep learning (e.g. Introduction to Deep Learning).
  • Important: When registering at the TUM matching platform, please also send an email to DL-seminar@vision.in.tum.de in which you write your full name, matriculation number and where you state and prove prior exposure to these topics, e.g., with a transcript of records, prior course projects etc..
Block Seminar Week
  • We will hold a one-week block seminar, December 2 - December 5, 6-8pm. Room: 02.09.023
  • This way the seminar does not conflict with the exam period and the evening times hopefully avoid conflicts with other lectures.
  • All talks are held in English.
Final Report

Final reports should be written in LaTeX. A template will be provided.

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group



Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.


Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream


4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.


Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream