University of Cambridge > Talks.cam > Machine learning in Physics, Chemistry and Materials discussion group (MLDG) > MLDG: Generative models

MLDG: Generative models

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If you have a question about this talk, please contact Prof. Gabor Csanyi.

We will have Jesse Allardice and Austen Lamacraft who will talk about generative models. References:

https://arxiv.org/abs/1909.13789

https://arxiv.org/abs/1910.00024

https://arxiv.org/abs/1909.13739

https://arxiv.org/abs/1406.2661

https://arxiv.org/abs/1511.06434

https://research.fb.com/publications/vr-facial-animation-via-multiview-image-translation/

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General information about the MLDG

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We hope MLDG will provide a platform to present and discuss latest ideas from people Cambridge and outside, as well as to learn state-of-the-art techniques. We hope to foster a very informal atmosphere, part talking shop, part journal club, part tutorial, etc. Each discussion group session will consists of two presentations each lasting 25 minutes (2×25 min). We want to emphases that you don’t have to present polished work at MLDG . If you want to present something that is in progress, or even in an early stage, that is perfectly fine. If you want to seek some advice or elicit some discussion for a problem, that is fine too. If you want to present an interesting piece of work that you saw, that is also great.

The venue is at the Mott Seminar (531) room, top floor of the Mott Building, in the Cavendish Laboratory, West Cambridge. See the getting here page for a map. If you don’t have access to the building, please wait downstairs at the entrance at 16:15 pm or 16:25 pm and we will pick you up. Coffee/tea and biscuits will be served outside the seminar room starting 16:15 pm.

There is also a mailing list, to which you can subscribe with your CrsID: https://lists.cam.ac.uk/mailman/listinfo/ucam-mldg

This talk is part of the Machine learning in Physics, Chemistry and Materials discussion group (MLDG) series.

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