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Research Seminar

Winter Term 2026/2027

Prof. Dr. Nicolas Perkowski


  • Time and place: Tentatively on Thursdays, 2:00–4:00 p.m..


Content: Talks by Master's and PhD students about ongoing work and selected research topics as well as guest talks.

Talks

DateTitleSpeaker
15.10. Organisatorial meeting: Overview and distribution of talks Nicolas Perkowski
22.10. Introduction to probabilistic machine learning Nicolas Perkowski
29.10. From regression to neural networks Carlos Villanueva Mariz
05.11. Transformers and large language models Julian Kern
15.11. Pretraining, scaling, in-context learning Bernhard Eisvogel
19.11. Reasoning models and reinforcement learning Dave Jacobi
26.11. Information geometry and gradient methods Ana Damnjanovic
03.12. Talk 7: TBA N.N.
10.12. Talk 8: TBA N.N.
17.12. Talk 5: TBA N.N.
2027    
07.01. Talk 9: TBA N.N.
14.01. Talk 10: TBA N.N.
21.01. Talk 11: TBA N.N.
04.02. Talk 12: TBA N.N.



Past research seminars

Summer Term 2026 Research Seminar Stochastics
Winter Term 2025/26 Research Seminar Stochastics
Summer Term 2025 Research Seminar Stochastics
Winter Term 2024/25 Research Seminar Stochastics
Summer Term 2024 Research Seminar Stochastics
Winter Term 2023/24 Research Seminar Stochastics
Summer Term 2023 Research Seminar Stochastics
Winter Term 2022/23 Research Seminar Stochastics
Summer Term 2022 Research Seminar Stochastics
Winter Term 2021/22 Research Seminar Stochastics
Summer Term 2021 Research Seminar Stochastics
Winter Term 2020/21 Research Seminar Stochastics
Summer Term 2020 Research Seminar Stochastics