- The focus is on the interactive discussion of publication, blogs or topics around Deep Learning, probabilistic prediction models, and causality (or other topics of general interest). During corona-crisis we meet via zoom or MS teams.
- All kind of stupid questions are very welcome and even necessary to learn as much as possible. We usually want to discuss first details, like questions on mathematical and technical aspects, before turning to high level implications of the paper.
- The only rule is that we all read the paper before meeting.
- One person suggests the topic and starts the discussion with a short summary (~5min) and then leads the discussion.
- The discussion leader provides links to the material/article one week before the meeting and write an e-mail to all listed participants. The role of the discussion leader is in each meeting taken by somebody else (see linked spreadsheet below)
- If you want to participate, please put your name in the linked spreadsheet below:
Participants_Topics_Dates_list
Ideally, the topics is not too complicated, so that we all can manage to read through the suggested material (otherwise it suites better for a bbs which is also good).
It is clear that not all can make it every time but the event lives from our active participation. In case of any question please feel free to contact me ([email protected]).