OxTalks is Changing
OxTalks will soon be transitioning to Oxford Events (full details are available on the Staff Gateway). A two-week publishing freeze is expected in early Hilary to allow all events to be migrated to the new platform. During this period, you will not be able to submit or edit events on OxTalks. The exact freeze dates will be confirmed as soon as possible.
If you have any questions, please contact halo@digital.ox.ac.uk
Approximate Inference and Deep Generative Models
Advances in deep generative models are at the forefront of deep learning research because of the promise they offer for allowing data-efficient learning, and for model-based reinforcement learning. In this talk I’ll review a few standard methods for approximate inference and introduce modern approximations which allow for efficient large-scale training of a wide variety of generative models. Finally, I’ll demonstrate several important application of these models to density estimation, missing data imputation, data compression and planning.
Date:
13 September 2017, 13:30
Venue:
Le Gros Clark Building, off South Parks Road OX1 3QX
Venue Details:
lecture theatre
Speaker:
Dr Danilo Jimenez Rezende (Deepmind)
Organiser:
Dr Friedemann Zenke (University of Oxford)
Organiser contact email address:
friedemann.zenke@cncb.ox.ac.uk
Host:
Dr Friedemann Zenke (University of Oxford)
Part of:
Oxford NeuroAI Forum
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Friedemann Zenke
