This is where we will keep information about the Machine Learning Seminar Series at Chalmers. The seminars are open to the public, and we encourage people to join us. The focus of these seminars are machine learning in general, including Deep Learning and Bayesian methods. We intend to host seminars that are accessible to a broader spectrum of attendants, working in different fields of science, but with an interest in machine learning.
Schedule
We meet every week at Mondays 13:30 in the EDIT-room (3364) at Hörsalsvägen 11, Gothenburg, Sweden.
See below for the planned seminars, and click the “plus” to add this to your Google calendar.
To import the seminar calendar, please use the following ICS link, or view the HTML version.
Mailing list
Announcements are posted in our mailing list, chalmers-ml-seminars@googlegroups.com, which is free for anyone to join. Click here to join.
Topics
In the near future we intend to cover topics such as batch normalization, generative adversarial networks, domain adaptation, and attention models.
Resources from previous seminars
- 2016-10-27: Mehdi Ganimifard
Slides (google docs). - 2016-09-29: Breakthroughs in Neural Machine Translation
Speaker: Olof Mogren
Slides and related reading. - 2016-09-22: ACL 2016 Overview
Speaker: Olof Mogren
Info. - 2016-03-03: Reducing structured prediction to classification
Speaker: Richard Johansson
Slides. - 2016-02-18: Neural Attention Models
Speaker: Olof Mogren (mogren at chalmers dot se).
Slides and related reading. - 2016-02-11: What would have happened if…? ML and causal inference
Speaker: Fredrik Johansson (frejohk at chalmers dot se). - 2016-02-04: Go solved by Google!? How Google Deep Mind were able to beat a professional Go player using deep reinforcement learning.
Speaker: Mikael Kågebäck (kageback at chalmers dot se). - 2016-01-28: Provable Bounds for Learning Some Deep Representations
Speaker: Ashkan Panahi (ashkanp at chalmers dot se).