Thank you David! It would be great to meet on campus sometime ;)

Thank you! Great to know that. I’ll take a look. About creativity I have been thinking about this. On one hand, generative models aim to max the training set likelihood, on the other hand, we want the samples to be out of distribution…any good pointers to resolve this dilemma?

Beautiful talk!!! It seems that this analysis can also extend to group convolutions? Another question is how to quantify creativity?

Hello there! We work on machine learning algorithms for epidemic forecasting and prevention!

That is a good point! The main responsibility of AC is to facilitate discussions among reviewers. But without much at stake, reviewers don’t have a strong incentive to reach consensus.

That's an interesting perspective. What is the ideal effect that we want from such reviewer's discussion? Don't we want independent opinions from each reviewer?