Mathematics | Michigan State University

Department of Mathematics

Seminars By Semester

Seminar: Semester:

Show past talks?

Download iCal

Talk_id	Date	Speaker	Title
29415	Friday 9/16 4:00 PM	Anna Veselovska, Department of Mathematics, Technical University of Munich, Germany	Super-Resolution on the Two-Dimensional Unit Sphere New Window Applied Mathematics Speaker: Anna Veselovska, Department of Mathematics, Technical University of Munich, Germany Title: Super-Resolution on the Two-Dimensional Unit Sphere Date: 09/16/2022 Time: 4:00 PM - 5:00 PM Place: C304 Wells Hall Contact: Mark A Iwen (iwenmark@msu.edu) In this talk, we discuss the problem of recovering an atomic measure on the unit 2-sphere S^2 given finitely many moments with respect to spherical harmonics. The analysis relies on the formulation of this problem as an optimization problem on the space of bounded Borel measures on S^2 as suggested by Y. de Castro & F. Gamboa and E. Candes & C. Fernandez-Granda. We construct a dual certificate using a kernel given in an explicit form and make a concrete analysis of the interpolation problem. We support our theoretical results by various numerical examples related to direct solution of the optimization problem and its discretization. This is a joint work with Frank Filbir and Kristof Schroder.
29438	Thursday 9/22 2:30 PM	Rayan Saab, University of California, San Diego (UCSD)	Quantizing neural networks New Window Applied Mathematics Speaker: Rayan Saab, University of California, San Diego (UCSD) Title: Quantizing neural networks Date: 09/22/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) (Virtual Meeting Link) Contact: Mark A Iwen (iwenmark@msu.edu) Neural networks are highly non-linear functions often parametrized by a staggering number of weights. Miniaturizing these networks and implementing them in hardware is a direction of research that is fueled by a practical need, and at the same time connects to interesting mathematical problems. For example, by quantizing, or replacing the weights of a neural network with quantized (e.g., binary) counterparts, massive savings in cost, computation time, memory, and power consumption can be attained. Of course, one wishes to attain these savings while preserving the action of the function on domains of interest. We present data-driven and computationally efficient methods for quantizing the weights of already trained neural networks and we prove that our methods have favorable error guarantees under a variety of assumptions. We also discuss extensions and provide the results of numerical experiments, on large multi-layer networks, to illustrate the performance of our methods. Time permitting, we will also discuss open problems and related areas of research.
29435	Thursday 10/6 2:30 PM	Weijie Su, University of Pennsylvania	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Weijie Su, University of Pennsylvania Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 10/06/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) (Virtual Meeting Link) Contact: Mark A Iwen (iwenmark@msu.edu) What Should a Good Deep Neural Network Look Like? Insights from a Layer-Peeled Model and the Law of Equi-Separation See https://sites.google.com/view/minds-seminar/home
29437	Thursday 10/13 2:30 PM	Dustin Mixon, Ohio State University	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Dustin Mixon, Ohio State University Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 10/13/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) (Virtual Meeting Link) Contact: Mark A Iwen (iwenmark@msu.edu) See https://sites.google.com/view/minds-seminar/home
30456	Thursday 10/27 2:30 PM	Guanghui Lan, Georgia Institute of Technology	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Guanghui Lan, Georgia Institute of Technology Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 10/27/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) Contact: Mark A Iwen () See https://sites.google.com/view/minds-seminar/home
30457	Thursday 11/3 2:30 PM	Alex Townsend , Cornell University	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Alex Townsend , Cornell University Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 11/03/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) Contact: Mark A Iwen () See https://sites.google.com/view/minds-seminar/home
30458	Thursday 11/17 2:30 PM	Wei Zhu , University of Massachusetts Amherst	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Wei Zhu , University of Massachusetts Amherst Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 11/17/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) Contact: Mark A Iwen () See https://sites.google.com/view/minds-seminar/home
30485	Thursday 12/1 2:30 PM	Zhaoran Wang, Northwestern University	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Zhaoran Wang, Northwestern University Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 12/01/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) Contact: Mark A Iwen () See https://sites.google.com/view/minds-seminar/home
30459	Thursday 12/8 2:30 PM	Rongjie Lai , Rensselaer Polytechnic Institute	1W-MINDS talk (passcode is the first prime number > 100). New Window Applied Mathematics Speaker: Rongjie Lai , Rensselaer Polytechnic Institute Title: 1W-MINDS talk (passcode is the first prime number > 100). Date: 12/08/2022 Time: 2:30 PM - 3:30 PM Place: Online (virtual meeting) Contact: Mark A Iwen () See https://sites.google.com/view/minds-seminar/home

Contact

Department of Mathematics
Michigan State University
619 Red Cedar Road
C212 Wells Hall
East Lansing, MI 48824
Phone: (517) 353-0844
Fax: (517) 432-1562

College of Natural Science

HOME