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Focused Research Group in Network Representation Learning

August 26 @ 12:00 pm - 1:20 pm

Representation learning, and in particular graph representation, is one of the most important cross-disciplinary machine learning techniques to have emerged in the last five years with significant impact in a host of domain applications including computer science (natural language processing, text mining, social network analysis), neuroscience and psychology, proteomics, single-cell RNA-seq, cancer genomics, etc. The goal of this seminar is to start a focused research group in this area with the objective of fostering collaboration between methodology researchers and domain scientists with the short-term goals of joint research collaborations through papers and grant proposals and the longer goal of making UNC one of the world’s leading groups in the techniques and applications of one of the most important and topical areas of contemporary data science and machine learning.

Conveners

Shankar Bhamidi, Statistics and Operations Research
Jessica Cohen, Psychology and Neuroscience
Eran Dayan, Radiology

Details

Date:
August 26
Time:
12:00 pm - 1:20 pm
Website:
https://carolinaseminars.unc.edu/

Venue

308 Gardner Hall