Upcoming Reading Groups

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iCalendar URL for all Reading Groups: www.csml.ac.uk/ics/type/1

Series

Machine Learning for Neuroimaging Reading Group

This is an informal group considering applications of machine learning approaches to analyze neuroimaging data (e.g. fMRI, structural MRI, MEG, EEG, etc). This group will discuss recent papers published in this area and papers describing methods with potential applications to neuroimaging.

Usual time: Monday, 13:00 - 14:00
Location (unless otherwise noted): Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Russell Square House
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Computational Stats Reading Club

The Computational Statistics Reading Club meets at 4pm every other Wednesday in the Statistics department. Each time a volunteer goes through a paper of their choosing. If you would like to be put on the mailing list or volunteer to present a paper, please contact Nicolo Colombo at nicolo.colombo (add at ucl.ac.uk).

Usual time: Wednesday, 16:00 - 17:00
Location (unless otherwise noted): Room 116, First Floor, 1-19 Torrington Place
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Computer Vision Reading Group

This reading group focuses on Computer Vision and Machine Learning. The group meets weekly, usually on Wednesdays. Attendees take turns, presenting an interesting paper from CVPR, ICCV, ECCV, NeurIPS, Siggraph etc. This group is run by CV faculty in CS; contact Gabriel Brostow if needed, but sign up by emailing vision-reading-request (add at cs.ucl.ac.uk) with the subject "subscribe."

Usual time: Wednesday, 16:00 - 17:00
Location (unless otherwise noted): 66 Gower Street #405
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Gatsby ML Journal Club

The Gatsby Machine Learning Journal Club meets every Monday at 13:30. At each meeting someone presents a recent important machine learning paper, where the audience is encouraged to take part in the discussion.

If you would like to subscribe to the mailing list please contact Wenkai Xu at xwk4813 (add at gmail.com).

Usual time: Monday, 13:30 - 14:30
Location (unless otherwise noted): Gatsby seminar room, Sainsbury Wellcome Centre, 25 Howland Street, 2nd Floor
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