Summer term 2024
Machine Learning I
- Lecture: Nihat Ay
- Exercise: Nihat Ay & Manfred Eppe & Adwait Datar
- Lecture: Wednesdays, 09:45 – 11:15, Room K – 0506
- Tutorials:
- Group 1: Monday, 09:45 – 11:15, Room N – 0.009
- Group 2: Monday, 11:30 – 13:00, Room N – 0.009
- Group 3: Tuesday, 09:45 – 11:15, Room D – 1.023
- Group 4: Tuesday, 11:30 – 13:00, Room D - 1.023
- More Info: Stud.IP
Statistical Models
- Lecture: Nihat Ay & Matthias Schulte
- Exercise: Nihat Ay & Matthias Schulte
- Lecture:
- Tuesday: 13:15 - 14:45, weekly, Location: (D-2.022)
- Thursday: 15:00 - 16:30, fortnightly, Location: (D-2.022)
- Exercises: Thursday: 15:00 - 16:30, fortnightly, Location: (D-2.022)
Introduction to Deep Learning
- Lecture: Pradeep Banerjee
- Tuesdays, 11:30 – 13:00
- Location: Blohmstraße 15 (HIP One), 5th Floor, Room 5.002
- More Info: Stud.IP
Deep Reinforcement Learning
- Lecture: Pradeep Banerjee
- Tuesdays, 14:00 - 15:30
- Location: Blohmstraße 15 (HIP One), 5th Floor, Room 5.002
- More Info: Stud.IP
Winter term 2023/2024
Machine Learning II
- Lecture: Nihat Ay
- Exercise: Nihat Ay & Manfred Eppe
- Lecture: Fridays, 13:15 – 14:45, Room K – 0506
- Exercise:
– Calculation of the Exercises: Thursdays, 9:45 – 11:15, Room N – 0.008
– Mathematical Questions & Answers: Thursdays, 11:30 – 13:00, Room D – 1.025 - More Info: Stud.IP
Das Kino-Seminar: Können Maschinen Mensch sein?
- Nihat Ay
- Wednesdays, 11:30 – 13:00
- Location: Blohmstraße 15 (HIP One), 5th Floor, Room 5.002
- More Info: Stud.IP
Causality in Machine Learning
- Pradeep Banerjee & Carlotta Langer
- Tuesdays, 11:30 – 13:00 (every 2 weeks)
- Location: Blohmstraße 15 (HIP One), 5th Floor, Room 5.002
- More Info: Stud.IP
Large Language Models and Information Theory: Decoding Words and Bits
- Pradeep Banerjee & Jesse van Oostrum
- Tuesdays, 14:00– 15:30 (every 2 weeks)
- Location: Blohmstraße 15 (HIP One), 5th Floor, Room 5.002
- More Info: Stud.IP
Summer term 2023
Machine Learning I
- Lecture: Nihat Ay
- Exercise: Nihat Ay & Manfred Eppe & Adwait Datar
- Lecture: Wednesdays, 09:45 – 11:15, Room K – 0506
- Tutorials:
– Group 1: Wednesdays, 11:30 – 13:00, Room H – 0.01
– Group 2: Thursdays, 09:45 – 11:15, Room A – 0.01
– Group 3: Thursdays, 11:30 – 13:00, Room D – 0.011 - More Info: Stud.IP
Winter term 2022/2023
Machine Learning II
- Lecture: Nihat Ay
- Exercise: Nihat Ay & Manfred Eppe
- Lecture: Tuesdays, 15:00 – 16:30, Room K – 0506
- Exercise:
– Calculation of the Exercises: Thursdays, 9:45 – 11:15, Room O – 0.007
– Mathematical Questions & Answers: Thursdays, 11:30 – 13:00, Room A – 1.16 - More Info: Stud.IP
Summer term 2022
Machine Learning I
- Nihat Ay, Manfred Eppe & Csongor Várady
- lecture & exercise for Data Science (DSBS)
- lecture: Wednesdays, 9:45 – 11:15, Room K – 0506
- exercise:
– Group 1: Thursdays, 9:45 – 11:15, Room A – 0.01
– Group 2: Thursdays, 11:30 – 13:00, Room D – 0.011
– Group 3: Tuesday, 11:30 – 13:00, Room A – 0.14 - electronic exam: September 14th, 2022
- more Info: Stud.IP
Winter term 2021/2022
Summer term 2021
Gradientenmethoden in der Lerntheorie (Seminar)
- Nihat Ay
- Masterstudierende ECTS-Punkte: 3
Winter term 2020/2021
Kernel Methods in Learning Theory
- Nihat Ay
- Location: video broadcast
- Abstract, registration and more info
Recent Developments Towards a New Theory of Generalisation (Seminar)
- Nihat Ay (prepared in collaboration with Juan Pablo Vigneaux)
- Location: video broadcast
- Abstract, registration and more info, Outline of the Seminar
Summer term 2019
Artificial Neural Networks and Machine Learning: Theoretical Foundations II
- Nihat Ay
- Thursdays, 11:15 – 12:45
- Location: MPI MiS, A3 02
- more info
Winter term 2018/2019
Artificial Neural Networks and Machine Learning: Theoretical Foundations I
- Nihat Ay
- more info
Summer term 2017
Information Theory II
- Nihat Ay
- Tuesdays, 11:00 – 12:30
- Location: MPI MiS, A3 02
Winter term 2016/2017
Information Theory I
- Nihat Ay
- Tuesdays, 11:00 – 12:30
- Location: MPI MiS, A3 02
Summer term 2016
Grundlagen der Robotik und Seminar Morphological Computation
- Keyan Ghazi-Zahedi
- Tuesdays, 13:00 – 15:00
- Location: University Leipzig, SG 2-14
Summer term 2015
Reinforcement Learning – An Introduction
- Keyan Ghazi-Zahedi
- Thursdays, 10:15 – 11:45
- Location: A2, MPI MiS
Winter term 2014/2015
Geometric Aspects of Graphical Models and Neural Networks
- Nihat Ay, Guido Montufar
- Wednesdays, 10:15 – 11:45; first on November 26th
- Location: A2, MPI MiS
Summer term 2013
Information Theory II
- Nihat Ay
- Wednesdays, 11:30 – 13:00; first on April 17th
- Location: A2, MPI MiS
Winter term 2012/2013
Information Theory
- Nihat Ay
- Wednesdays, 11:00 – 12:30; first on October 10th
- Location: A2, MPI MiS
Winter term 2011/2012
Second part of the IMPRS Ringvorlesung “Higher Dimensions”
- Nihat Ay
- Date: 9.,23.,30. November and 7., 14. December
Winter term 2010/2011
Stochastische Prozesse
- Nihat Ay
- Thursdays, 15:15 – 16:45, Hs 15
Optimierung und Komplexität
- Nihat Ay
Summer term 2010
Stochastic Differential Equations
- Nihat Ay
- It will take place on Wednesdays, starting April 14, at 10:15 in A1.
Summer term 2009
Mathematical Learning Theory and Neural Networks
- Nihat Ay
Summer term 2007
Concepts of Causality in Biology and Medicine (Seminar)
- Korbinian Strimmer & Nihat Ay
Quantum Mechanics: basic mathematical structures and their operational interpretation
- Arleta Szkola
Winter term 2006/2007
Information Theory II
- Arleta Szkola
Random Graphs – New Developments Beyond the Erdös-Renyi Model
- Tyll Krüger
Summer term 2006
Information Theory I
- Arleta Szkola
Graphical Models and Causality
- Nihat Ay
