Events Calendar

Monday	Tuesday	Wednesday	Thursday	Friday	Saturday	Sunday
27 4:30 pm Steven Zucker PACM Colloquium Steven Zucker A Manifold Approach to Understanding Visual Systems Abstract:	28	29	30	31	1	2
3 4:30 pm Anna Seigal PACM Colloquium Anna Seigal Tensor decompositions for multi-context data analysis Abstract:	4	5 12:10 pm Andy Zhang Graduate Student Seminars Andy Zhang Noise Estimation on Arbitrary Domains Estimating the power spectra of a stochastic process is important for several data processing tasks, such image denoising/whitening.	6	7	8	9
10 4:30 pm Stas Shvartsman PACM Colloquium Stas Shvartsman A class of natural tessellation algorithms Abstract:	11	12	13	14	15	16
17 4:30 pm Andrew Blumberg PACM Colloquium Andrew Blumberg Discrete curvature in geometric data analysis Abstract: Classical manifold learning relies on estimation of the tangent bundle of a manifold from a finite sample, i.e., the first derivative.	18	19 12:10 pm Liane Xu Graduate Student Seminars Liane Xu TBA TBA	20	21	22	23
24 4:30 pm Hongkai Zhao PACM Colloquium Hongkai Zhao Mathematical and Computational Understanding of Neural Networks: From Representation to Learning and From Shallow to Deep Abstract. In this talk, I will present some understanding of a few basic mathematical and computational questions for neural networks, as a particular form of nonlinear representation, and show how the network structure, activation function, and parameter initialization c	25	26	27	28	29	30