Seminar
The TransferLab Seminar is a platform where researchers and engineers share and discuss recent advances in AI/ML, striking a balance between accessibility and mathematical depth.
We organize comprehensive talks on ML, RL, DL and statistics, emphasizing both theoretical understanding and practical implementation. These range from introductory overviews to recent developments - and are open to all interested individuals!
Each talk, lasting about 45min followed by around 15min discussion, focuses on a specific topic related to our ongoing series topics. To stay informed, follow the appliedAI Institute on LinkedIn. If you’re interested in presenting your work, contact us.
Upcoming Talks
Scheduled
Scientific Inference With Interpretable Machine Learning -
Timo Freiesleben (University of Tübingen)
Previous Talks
Done
Explaining classifier outputs with local approximations -
Miguel de Benito Delgado
Done
Extrapolating hyperparameters across dataset size with Bayesian optimisation -
Álvaro Tejero-Cantero (University of Tübingen)
Done
Departing from standard artificial neural networks -
Done
The case for learned index structures -
Miguel de Benito Delgado