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. Recordings of past seminars are available on YouTube.
Upcoming Talks
Scheduled
Towards a statistical theory of data selection under weak supervision -
Pulkit Tandon (Granica)
Previous Talks
Done
Hamiltonian Monte Carlo Sampling -
Maternus Herold (appliedAI Institute)
Done
Bayesian optimal experiment design (2 of 2) -
Markus Semmler (appliedAI Initiative)
Done
Bayesian optimal experiment design (1 of 2) -
Markus Semmler (appliedAI Initiative)
Done
Solving Schrödinger's equation with neural networks -
Omer Rochman
Done
Bayesian ML and Probabilistic Programming 3: Variational Inference -
Faried Abu Zaid (appliedAI Institute)
Done
Duality in RL and the [*]-DICE Family (part 2) -
Robert Müller (appliedAI Institute)