Data Science Seminar

September 08, 2020 - May 25, 2021

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Tuesday, September 08, 2020
			Video
1:25 pm - 2:25 pm	Does Deep Learning Solve the Phase Retrieval Problem? Ju Sun (University of Minnesota, Twin Cities)

Tuesday, September 22, 2020
			Video
1:25 pm - 2:25 pm	Matrix Denoising with Weighted Loss William Leeb (University of Minnesota, Twin Cities)

Tuesday, September 29, 2020
			Video
1:25 pm - 2:25 pm	Multi-Perspective, Simultaneous Embedding and Theoretically Guaranteed Projected Power Method for the Multi-way Matching Problem Vahan Huroyan (University of Arizona)

Tuesday, October 06, 2020
			Video
1:25 pm - 2:25 pm	Large-Scale Semi-supervised Learning via Graph Structure Learning over High-dense Points Li Wang (University of Texas at Arlington)	Zoom

Tuesday, October 13, 2020
			Video
1:25 pm - 2:25 pm	Geometric Methods in Statistics, Optimization, and Sampling Tyler Maunu (Massachusetts Institute of Technology)	Zoom

Tuesday, October 20, 2020
			Video
1:25 pm - 2:25 pm	How COVID-19 has Changed the World and What the Future Holds Michael Osterholm (University of Minnesota, Twin Cities)	Zoom

Tuesday, October 27, 2020
			Video
1:25 pm - 2:25 pm	Clustering High-dimensional Data with Path Metrics: A Balance of Density and Geometry Anna Little (The University of Utah)	Zoom

Tuesday, November 03, 2020
			Video
1:25 pm - 2:25 pm	Machine Learning Methods for Solving High-dimensional Mean-field Game Systems Levon Nurbekyan (University of California, Los Angeles)

Tuesday, November 10, 2020
			Video
1:25 pm - 2:25 pm	Natural Graph Wavelet Packets Naoki Saito (University of California, Davis)	Zoom

Tuesday, November 17, 2020
			Video
1:25 pm - 2:25 pm	Fast Statistical and Geometric Distances Between Families of Distributions Alexander Cloninger (University of California, San Diego)	Zoom

Tuesday, November 24, 2020
			Video
1:25 pm - 2:25 pm	Multiway Tensor Analysis with Neuroscience Applications Gal Mishne (University of California, San Diego)

Tuesday, December 01, 2020
			Video
1:25 pm - 2:25 pm	Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains Xiuyuan Cheng (Duke University)	Zoom

Tuesday, December 08, 2020
			Video
1:25 pm - 2:25 pm	Understanding Convolutional Neural Networks Through Signal Processing Matthew Hirn (Michigan State University)	Zoom

Tuesday, December 15, 2020
			Video
1:25 pm - 2:25 pm	Estimation of Manifolds from Point Clouds: Building Models from Data Barak Sober (Duke University)

Tuesday, January 19, 2021
			Video
1:25 pm - 2:25 pm	Quantum Compiler for Classical Dynamical Systems Dimitris Giannakis (Courant Institute of Mathematical Sciences)	Zoom

Tuesday, January 26, 2021
			Video
1:25 pm - 2:25 pm	An Optimal Transport Perspective on Uncertainty Propagation Amir Sagiv (Columbia University)

Tuesday, February 02, 2021
			Video
1:25 pm - 2:25 pm	Regression of Functions on Low-dimensional Manifolds by Neural Networks Wenjing Liao (Georgia Institute of Technology)	Zoom

Tuesday, February 09, 2021
			Video
1:25 pm - 2:25 pm	Using Telco Data to Fight Epidemics Kenth Monsen (Telenor Research)	Zoom

Tuesday, February 23, 2021
			Video
1:25 pm - 2:25 pm	Lecture Facundo Mémoli (The Ohio State University)

Tuesday, March 02, 2021
			Video
1:25 pm - 2:25 pm	Lecture Jianfeng Lu (Duke University)	Zoom

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