Oberseminar ML

The Oberseminar is a forum for exchange and discussion on ongoing research and theses within the Machine Learning research group. It provides a platform for students to present their bachelor’s and master’s theses, while staff members share insights from their research and projects. Guests are welcome to attend.

Time: Thursdays, 10:15 – 11:45

Place: Bu 56b room 04-713

Summer Term 2026

Date	Speaker	Topic

Winter Term 2025/26

Date	Speaker	Topic
21.10.2025	Alhassan Abdelhalim	Explainabilty in Transformers
28.10.2025	Maximilian Schulz	Doman-adversarial Neural Networks for Fake News Detection
11.11.2025	Hantao Zhou	Stochastic Property Analysis of Non-Markovian Processes
18.11.2025	Rico Bruhland	Efficiently Training Small Language Models for Latex Generation
16.12.2025	Flavia Macovei	Solving Inverse Problems using Deep Learning

Summer Term 2025

Date	Speaker	Topic
24.06.25	Prof. Dr. Sören Laue	PAC learning, VC dimension, Rademacher complexity
01.07.25	no seminar
08.07.25	Prof. Dr. Sören Laue	PAC learning, VC dimension, Rademacher complexity
15.07.25	Prof. Dr. Sören Laue	Entropy, mutual information, Kullback–Leibler divergence
22.07.25	Hanna Herasimchyk	Great ML tools and other best practices

Winter Term 2024/25

Date	Speaker	Topic
29.10.24	Alhassan Abdelhalim	Detecting Violence in Ancient Texts
05.11.24	David Rath	Creativity in Transformer Models
12.11.24	Marvin Raschke	Detektion von Illegaler Fischerei
19.11.24	Hanna Herasimchyk	Ambiguity in Transformer Models
26.11.24	Markus Behrens	Estimating Ship Arrival Times
03.12.24		no seminar
10.12.24	Robin Labryga Anant Kataria	Bayesian Optimization for Line Search Signal Prediction for Mask and Match Evaluation
17.12.24
07.01.25		Paper Writing Session
14.01.25		Paper Writing Session
21.01.25		Paper Writing Session
28.01.25	Jonas Thäder	Quality Prediction for Laser Powder Bed Fusion using Machine Learning