Kipoi - Seminar
The monthly virtual seminar series is designed as a platform for interested Kipoi users and developers and will host talks on the applications of deep learning on biological data. The seminar is held on every first Wednesday of the month at 5:30 p.m. - 6:30 p.m. CET. We are also happy to share the recordings of the seminar on YouTube.
How to take part
The Virtual Seminar Series takes place via Zoom. To take part in the seminar, you can register for the online Zoom conference here. Your personal join link will be valid for all upcoming lectures of the series.
How to apply as a speaker
The seminar is a great opportunity to present your recent work to a large international audience. If you want to apply as a speaker, please use the contact in the registration confirmation email.
Title: GFlowNets for Scientific Discovery1 June 2022 5:30 p.m. - 6:30 p.m. Central European Time
Speaker: Yoshua Bengio, Université de Montréal, Mila – Quebec Artificial Intelligence InstituteAbstract:
When the space of explanations or the space of candidate solutions (e.g. drugs, gene regulatory network) is exponentially large, how can an AI-based system efficiently explore it and make causal sense of the underlying unknown reality? I will introduce a new machine learning framework related to variational inference called generative flow networks or GFlowNets which may be a key deep learning-based ingredient towards answering such questions, guided by inspiration of how humans go at it. How can we model distributions about hypotheses that are not vectors but complex structured objects like graphs or equations? How can we use these to estimate epistemic uncertainty and guide knowledge acquisition through experimental design?
- 1 June 2022 - Yoshua Bengio, Université de Montréal, Mila – Quebec Artificial Intelligence Institute
- 4 May 2022 - Francesco Paolo Casale, Helmholtz Pioneer Campus, Helmholtz Zentrum Munich
- 6 April 2022 - Kyle Farh, Head of Artificial Intelligence Lab, Illumina, San Francisco Bay Area
- 2 March 2022 - Jonathan Frazer & Mafalda Dias, Debora Marks Lab, Harvard Medical School, Boston
- 2 February 2022 - Benjamin Schubert, Helmholtz Zentrum, Munich
- 1 December 2021 - Annalisa Marsico, Helmholtz Zentrum, Munich
- 3 November 2021 - Žiga Avsec, DeepMind, London
- 6 October 2021 - Mohammad Lotfollahi, Helmholtz Zentrum, Munich
- 1 September 2021 - Ansh Kapil, AstraZeneca, Munich
- 4 August 2021 - Christina Leslie, Sloan Kettering Institute, New York
- 7 July 2021 - Qiangfeng Cliff Zhang, Tsinghua University, Beijing
- 2 June 2021 - Johannes Linder, University of Washington, Seattle
- 5 May 2021 - Anshul Kundaje, Stanford University, Stanford
- 7 April 2021 - Yingxin Cao, UC Irvine, Irvine
- 3 March 2021 - Avanti Shrikumar, Stanford University, Stanford
- 3 February 2021 - Uwe Ohler, Max-Delbrück-Center for Molecular Medicine, Berlin
- 2 December 2021 - Ron Schwessinger, Radcliffe Department of Medicine, Oxford
- 4 November 2020 - David Kelley, Calico, San Francisco
- 7 October 2020 - Vikram Agarwal, Calico, San Francisco