** Deadline for registration is June 12, 2019 **
SAMSI WORKSHOP APPLICATION PROCESS:
After applying to a SAMSI workshop, our organizers/staff will review your information. Applicants will be notified about the decision within two weeks after the deadline for submitting the application. If you have not received a notification by that time, please send inquiries to firstname.lastname@example.org.
The SAMSI Deep Learning program will bring together mathematical, statistical, and computer scientists interested in understanding the theoretical capabilities and limitations of deep learning methodology. This workshop will feature overview talks that introduce the basic concepts of deep networks (including convolutional neural networks, recursive neural networks, generative adversarial networks, and various kinds of autoencoders). Additionally, there will be a series of talks that highlight recent research in this area. On Thursday, participants will break out into working groups, and develop plans for their semester of work on these topics. On Friday morning, the leaders of the working groups will share those plans with all of the workshop participants. The workshop ends at noon on Friday.
Confirmed speakers for this event include:
- Amitabh Basu, Applied Mathematics and Statistics, Johns Hopkins University
- Larry Carin, Electrical and Computer Engineering, Duke University
- Guang Cheng, Statistics, Purdue University
- Jianqing Fan, Statistics, Princeton University
- Xiaoming Huo, Statistics, Georgia Institute of Technology
- Adam Klivans, Computer Science, University of Texas-Austin
- Jason Klusowski, Statistics, Rutgers University
- Guanghui (George) Lan, Industrial and Systems Engineering, Georgia Institute of Technology
- Poh-Ling Loh, Electrical and Computer Engineering, University of Wisconsin University
- Deanna Needell, Mathematics, UCLA
- Rebecca Willet, Statistics, University of Chicago
- Johannes Schmidt-Hieber, Statistics, University of Twente
- Harrison Zhou, Statistics, Yale University
** Notice of Consent **
SAMSI values the proprietary and intellectual property of our participants. The materials presented at our various workshops and programs are in high demand by event participants and the applied mathematics and statistics community that comprise our audience. Therefore, we encourage all of our invited speakers to share their materials, as appropriate, in order to pass along the valuable research that is being done in your field of study and is a focus of this event. In addition, unless SAMSI is give written approval from our speakers we ARE NOT authorized to share the materials presented at this event.
Please click HERE to complete a SAMSI Consent form for this event. SAMSI appreciates your time and willingness to share this valuable content with others and we hope you enjoy this event!
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Questions: email firstname.lastname@example.org
** Planning for this event is ongoing **