Dear All,
The reading group discusses (mostly recent) papers about
theoretical machine learning and algorithms that aim to learn structured, compressed and/or interpretable latent representations of observations in a principled way, often with implications not only for machine learning, but also neuroscience and cognitive
science.
The group is open for anyone, but operates under the assumption
that participants know the basic tenets of unsupervised learning and probability theory and have read the paper assigned for the meeting.
Events of the group are advertised
on a mailing list. If you wish to be on this list or have any inquiries about the series, contact
Mihály
Bányai.
Upcoming meeting:
Paper to be discussed: Greff, K., Kaufman, R. L., Kabra, R., Watters, N., Burgess, C.,
Zoran, D., ... & Lerchner, A. (2019, May). Multi-object
representation learning with iterative variational inference. In
International Conference on Machine Learning (pp. 2424-2433). PMLR. Thursday
Time:
17:00, January 25 Thursday, 2024.
Location: CEU,
1051 Budapest, Nádor u. 15, Room 203.
Zoom:
Meeting ID:
943 6875 0761 Passcode: 984777
Please, be informed that
video/photo recording might take place at the event and the edited version of the video material might be published to communicate or promote CEU's activities. Please, find our Privacy Notice
here.
Best regards,