![[Search]](/static/images/search.gif){kind=small}
![[A-Z Index]](/static/images/az.gif){kind=small}
![[Contact]](/static/images/contact.gif){kind=small}
![[University of Cambridge]](/static/images/identifier2.gif){kind=small}
![[Talks.cam]](/static/images/talkslogosmall.gif)
Thursday 01 February 2018, 13:30-15:00
Deep Generative Models
- đ¤ Speaker: Jonathan Gordon; Alexander Matthews
- đ Date & Time: Thursday 01 February 2018, 13:30 - 15:00
- đ Venue: Engineering Department, CBL Seminar Room 4-38
Abstract
Deep, latent variable generative models have recently attracted a lot of attention from the research community. In the first half of this talk we will present a number of recent advances in variational auto-encoder (VAE) based models, focusing on the use of probabilistic modelling tools to increase the capacity of the standard VAE and allowing it to be applied to a broader range of learning tasks. The talk will be self contained, but will only include a brief review of the standard VAE concepts. It is recommended therefore to be familiar with the concepts presented in [1].
[1] – Kingma D P , and Welling M. Auto-Encoding Variational Bayes [1]
The second half of the talk will cover a subset of the literature on tractable deep generative models, which can be trained by regularized maximum likelihood. We will cover auto-regressive models such as Pixel Convolutional Networks and models composed of a sequence of tractable transformations such as Real NVP . We will compare and contrast the various approaches discussed.
Series This talk is part of the Machine Learning Reading Group @ CUED series.
Included in Lists
- All Talks (aka the CURE list)
- bld31
- Cambridge Centre for Data-Driven Discovery (C2D3)
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Cambridge talks
- Cambridge University Engineering Department Talks
- Centre for Smart Infrastructure & Construction
- Chris Davis' list
- Computational Continuum Mechanics Group Seminars
- custom
- Engineering Department, CBL Seminar Room 4-38
- Featured lists
- Guy Emerson's list
- Hanchen DaDaDash
- Inference Group Journal Clubs
- Inference Group Summary
- Information Engineering Division seminar list
- Interested Talks
- Machine Learning Reading Group
- Machine Learning Reading Group @ CUED
- Machine Learning Summary
- ML
- ndk22's list
- ob366-ai4er
- Quantum Matter Journal Club
- Required lists for MLG
- rp587
- School of Technology
- Simon Baker's List
- TQS Journal Clubs
- Trust & Technology Initiative - interesting events
- yk373's list
- yk449
Note: Ex-directory lists are not shown.