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IMA Video Library

Note: The videos available on this page are copyrighted material. It is intended for personal use or for educational purpose. Renting or resale of this product or any part of its contents is prohibited. Reproduction of any material contained in these videos onto any other media, or reuse in any other form for any purpose, without the expressed written consent of both the IMA and the lecturer, is strictly prohibited.
Industrial Problems Seminar
Industrial Problems Seminar
Date Title / Speaker
February 19, 2021 Cyber Security: A New Front for Computational Science and Engineering
Ali Pinar (Sandia National Laboratories)
 Industrial Problems Seminar
February 12, 2021 Discovering Genetic Networks Using Compressive Sensing
Matthew Herman (Fourier Genetics)
 Industrial Problems Seminar
January 22, 2021 The Rise of the Vector Database
Edo Liberty (Pinecone)
 Industrial Problems Seminar
December 11, 2020 COVID Modeling: Testing Scenarios and Geographical Networks
Natalie Sheils (UnitedHealth Group)
 Industrial Problems Seminar
November 13, 2020 The Evolution of Basketball with Data Science
Ivana Seric (Philadelphia 76ers)
 Industrial Problems Seminar
November 06, 2020 Active Community Detection with Maximal Expected Model Change
Dan Kushnir (Nokia Bell Labs)
 Industrial Problems Seminar
October 30, 2020 Estimating the Impact of Travel, Rest, and Playing at Home in the National Football League
Tom Bliss (National Football League (NFL))
 Industrial Problems Seminar
October 23, 2020 An Introduction to Image Compression, Old and New
Chris Finlay (Deep Render)
 Industrial Problems Seminar
Data Science Seminar
Data Science Seminar
Date Title / Speaker
May 18, 2021 Measuring the Happiness, Health, & Stories of Society through the Sociotechnical Dynamics of Social Media and Fiction
Chris Danforth (University of Vermont)
 Data Science Seminar
May 04, 2021 Order in Disorder: Modeling the Crumpling Dynamics of Thin Sheets
Jovana Andrejevic (Harvard University)
 Data Science Seminar
April 27, 2021 Polynomial Time Guarantees for the Burer-Monteiro Method
Diego Cifuentes (Massachusetts Institute of Technology)
 Data Science Seminar
April 20, 2021 Machine Learning Techniques for High-Dimensional Optimal Transport
Lars Ruthotto (Emory University)
 Data Science Seminar
April 13, 2021 Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Elizaveta Rebrova (University of California, Los Angeles)
 Data Science Seminar
April 06, 2021 The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
Ido Kaminer (Technion-Israel Institute of Technology)
 Data Science Seminar
March 30, 2021 Deep Networks and the Multiple Manifold Problem
John Wright (Columbia University)
 Data Science Seminar
March 23, 2021 Adapting the Metropolis Algorithm
Jeffrey Rosenthal (University of Toronto)
 Data Science Seminar
March 02, 2021 Coordinate Methods for Solving Eigenvalue Problems in High Dimensions
Jianfeng Lu (Duke University)
 Data Science Seminar
February 23, 2021 Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
Facundo Mémoli (The Ohio State University)
 Data Science Seminar
February 16, 2021 Learning the Manifold of Molecular Structures in Cryo-EM
Joakim Anden (Royal Institute of Technology (KTH))
 Data Science Seminar
January 26, 2021 An Optimal Transport Perspective on Uncertainty Propagation
Amir Sagiv (Columbia University)
 Data Science Seminar
January 19, 2021 Quantum Compiler for Classical Dynamical Systems
Dimitris Giannakis (Courant Institute of Mathematical Sciences)
 Data Science Seminar
December 15, 2020 Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University)
 Data Science Seminar
November 17, 2020 Fast Statistical and Geometric Distances Between Families of Distributions
Alexander Cloninger (University of California, San Diego)
 Data Science Seminar
November 10, 2020 Natural Graph Wavelet Packets
Naoki Saito (University of California, Davis)
 Data Science Seminar
November 03, 2020 Machine Learning Methods for Solving High-dimensional Mean-field Game Systems
Levon Nurbekyan (University of California, Los Angeles)
 Data Science Seminar
October 27, 2020 Clustering High-dimensional Data with Path Metrics: A Balance of Density and Geometry
Anna Little (The University of Utah)
 Data Science Seminar
October 20, 2020 How COVID-19 has Changed the World and What the Future Holds
Michael Osterholm (University of Minnesota, Twin Cities)
 Data Science Seminar
October 13, 2020 Geometric Methods in Statistics, Optimization, and Sampling
Tyler Maunu (Massachusetts Institute of Technology)
 Data Science Seminar
October 06, 2020 Large-Scale Semi-supervised Learning via Graph Structure Learning over High-dense Points
Li Wang (University of Texas at Arlington)
 Data Science Seminar
September 29, 2020 Multi-Perspective, Simultaneous Embedding and Theoretically Guaranteed Projected Power Method for the Multi-way Matching Problem
Vahan Huroyan (University of Arizona)
 Data Science Seminar

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