As part of the Duke University Department of Mathematics, the Program in Applied Mathematics hosts this ongoing series of seminars. The presentations cover a broad range of topics including numerical analysis, ordinary and partial differential equations, nonlinear systems, scientific computing, dynamical systems theory, mathematical biology, pattern formation, and complex physical systems.

To join the applied mathematics mailing list visit: subscribe applied-math-seminar

As a convenience, some selected seminars and presentations can be viewed live via the web. Further, we have video archives of past talks, which are also publicly available for you to view at any time.

- Wednesday, February 27, 2019, 12:00pm, 119 Physics, Applied Math And Analysis Seminar
*Learning Two-Layer Neural Networks with Symmetric Inputs*

Rong Ge (Duke University, Computer Science)- Deep learning has been extremely successful in practice. However, existing guarantees for learning neural networks are limited even when the network has only two layers - they require strong assumptions either on the input distribution or on the norm of the weight vectors. In this talk we give a new algorithm that is guaranteed to learn a two-layer neural network under much milder assumptions on the input distribution. Our algorithms works whenever the input distribution is symmetric - which means two inputs $x$ and $-x$ have the same probability.

Based on joint work with Rohith Kuditipudi, Zhize Li and Xiang Wang

- Deep learning has been extremely successful in practice. However, existing guarantees for learning neural networks are limited even when the network has only two layers - they require strong assumptions either on the input distribution or on the norm of the weight vectors. In this talk we give a new algorithm that is guaranteed to learn a two-layer neural network under much milder assumptions on the input distribution. Our algorithms works whenever the input distribution is symmetric - which means two inputs $x$ and $-x$ have the same probability.
- Wednesday, March 6, 2019, 12:00pm, 119 Physics, Applied Math And Analysis Seminar
*TBA*

Haomin Zhou (Georgia Tech) - Tuesday, March 19, 2019, 3:15pm, 119 Physics, Applied Math And Analysis Seminar
- Gergen Lecture at Gross Hall 103

- Wednesday, March 20, 2019, 3:15pm, 119 Physics, Applied Math And Analysis Seminar
*TBA*

Ruiwen Shu (Maryland) - Wednesday, March 27, 2019, 12:00pm, Physics 119, Applied Math And Analysis Seminar
*TBA*

Alina Chertock (NC State) - Wednesday, April 3, 2019, 12:00pm, 119 Physics, Applied Math And Analysis Seminar
*TBA*

Yu-Min Chung - Wednesday, April 10, 2019, 12:00pm, 119 Physics, Applied Math And Analysis Seminar
*TBA*

Alexander Litvak (University of Alberta) - Monday, April 15, 2019, 12:00pm, 119 Physics, Applied Math And Analysis Seminar
*TBA*

Benjamin Stamm (RWTH Aachen University) - Wednesday, April 17, 2019, 12:00pm, 119 Physics, Applied Math And Analysis Seminar
*TBA*

Ana Carpio (Complutense University of Madrid) - Wednesday, April 24, 2019, 12:00pm, Physics 119, Applied Math And Analysis Seminar
*TBA*

Stefan Steinerberger (Yale University) - Wednesday, October 23, 2019, 12:00pm, Physics 119, Applied Math And Analysis Seminar
*TBA*

Boris Khesin (U of Toronto)- TBA

All seminars take place on Mondays at 4:30 pm in Room 119 Physics Building unless otherwise noted.

Tea and refreshments are served before the seminars at 4:00 pm in Physics 101.

Related Seminars

Past speakers in the Duke Applied Mathematics seminars (1997+)

Please send comments about this web page to Mauro Maggioni or

Generated at 9:51am Friday, February 22, 2019 by Mcal. Top * Reload * Login