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!
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.