Learning about Machine Learning in Heidelberg

Labs in the Heidelberg area make leading contributions to the theory and practice of machine learning, pattern recognition and artificial intelligence.

Below is a summary of pertinent courses and activities in the area. Please follow the links to learn more about contents and prerequisites.

Enjoy!

Logos

Summer Semester 2018

Lectures

Advanced Machine Learning
Ullrich Köthe
https://hci.iwr.uni-heidelberg.de/teaching/advanced_machine_learning_2018

Computational Statistics & Data Analysis
Daniel Durstewitz, Georgia Koppe
http://www.zi-mannheim.de/en/lehre/additional-subjects.html#jfmulticonte...

Computer Vision: Scene Reconstruction and Understanding
Carsten Rother
https://hci.iwr.uni-heidelberg.de/teaching/CV-SRU-2018

Digitale Medizin
Jens Kleesiek https://www.digitale-medizin.net/

Information Geometry and Machine Learning (MM25)
Christoph Schnörr
https://ipa.math.uni-heidelberg.de/dokuwiki/doku.php?id=teaching:st18:in...

Machine Learning for Computer Vision
Fred Hamprecht
https://hci.iwr.uni-heidelberg.de/ial/mlcv

Object Recognition and Image Understanding Björn Ommer
https://hci.iwr.uni-heidelberg.de/ObjectRecognition.ImageUnderstanding_l...

Optimization for Machine Learning
Bogdan Savchynskyy
https://hci.iwr.uni-heidelberg.de/node/6237

Zeitreihenanalyse
Rainer Dahlhaus
http://www.math.uni-heidelberg.de/stat/people/dahlhaus/Zeitreihenanalyse...

Seminars

Embeddings for Data Analysis
Erich Schubert
https://dbs.ifi.uni-heidelberg.de/teaching/current/embeddings-seminar/

Explainable Machine Learning
Ullrich Köthe, Carsten Rother
https://hci.iwr.uni-heidelberg.de/teaching/seminar_explainable_ML_2018

Machine Learning for the Molecular World
Frauke Graeter, Rebecca Wade
https://www.h-its.org/mbm-teaching/machine-learning2018/

Neural Methods in NLP
Anette Frank
http://www.cl.uni-heidelberg.de/courses/ss18/neuralmethods/

Optimization for Machine Learning
Bogdan Savchynskyy
https://hci.iwr.uni-heidelberg.de/teaching/optml-seminar

Journal Club: Advanced Machine Learning
Manuel Haussmann
https://hci.iwr.uni-heidelberg.de/semaml

Statistische Methoden der Clusteranalyse/Statistical methods in cluster analysis
Enno Mammen, Jan Johannes
https://sip.math.uni-heidelberg.de/en//2018/04/09/Seminar-CA/

Invited Talks, Colloquia, Networking Events

Heidelberg.ai
Organized by members (Paul Jäger & Simon Kohl) of Klaus Maier-Hein’s Lab, VLL (Rother lab) supports it.
http://heidelberg.ai/

Statistical NLP Colloquium
Stefan Riezler
http://www.cl.uni-heidelberg.de/colloquium/statnlp/

Research internships

Computer Vision and Deep Learning
Björn Ommer
https://hci.iwr.uni-heidelberg.de/practical_sose_2018

Machine Learning for Computer Vision
Fred Hamprecht
https://hciweb.iwr.uni-heidelberg.de/ial/mlcvprakt

Machine Learning for Neural & Behavioral Data Analysis
Daniel Durstewitz
https://www.zi-mannheim.de/en/karriere/internship.html

Other

Machine Learning Club
Daniel Durstewitz, Jerome Foo
https://www.zi-mannheim.de/en/institut/events.html

Winter Semester 2018 / 2019

Lectures

Complex Network Analysis
Michael Gertz
http://hgs.iwr.uni-heidelberg.de/Portfolio_Modulhandbuch/OUTPUT/web_page...

Seminars

Research internships


If you wish to add your lecture or activity, please email hci@iwr.uni-heidelberg.de.