Data Science Seminars
The IMA Data Science Seminars are a forum for data scientists of IMA academic and industrial partners to discuss and learn about recent developments in the broad area of data science. Some of the talks will be by group members of the IMA Data Science Lab discussing recent developments in the area and possibly presenting their own work, while other talks will be by local and visiting data scientists with a few talks by external speakers.
The seminars are organized by Data Science Lab Director Gilad Lerman, School of Mathematics, University of Minnesota, and will generally take place Tuesdays from 1:25-2:25 p.m. in Lind Hall 305. (Please check abstract for correct time and location.)
Can't attend? Watch the live-stream for seminars (if available).
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|April 24, 2018||Lecture||
Joel Tropp (California Institute of Technology)
|November 28, 2017||Lecture||
Hossein Keshavarz (University of Minnesota, Twin Cities)
|October 31, 2017||Multireference Alignment without Alignment||
Nicolas Boumal (Princeton University)
|October 24, 2017||Optimal Control of Nonholonomic Mechanical Systems||
Stuart Rogers (University of Minnesota, Twin Cities)
|October 10, 2017||Community Structure in Stochastic Networks||
Chao Gao (University of Chicago)
|October 03, 2017||Deep Compressed Sensing||
Paul Hand (Rice University)
|September 26, 2017||Lipschitz bounds for general convolutional neural networks||
Dongmian Zou (University of Minnesota, Twin Cities)
|September 19, 2017||Quadratic Assignment on Different Data Models||
Soledad Villar (New York University)