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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.
Thematic Program Workshop
Theory and Algorithms in Graph-based Learning
Date Title / Speaker
September 15, 2020 Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization
Yifei Lou (University of Texas at Dallas)
 Thematic Program Workshop
September 15, 2020 On Anisotropic Diffusion Equations for Label Propagation
Lisa-Maria Kreusser (University of Cambridge)
 Thematic Program Workshop
September 15, 2020 Graph Structure of Neural Networks
Jure Leskovec (Stanford University)
 Thematic Program Workshop
September 15, 2020 Using Continuum Limits To Understand Data Clustering And Classification
Franca Hoffmann (California Institute of Technology)
 Thematic Program Workshop
September 14, 2020 A Fast Graph-Based Data Classification Method with Applications to 3D Sensory Data in the Form of Point Clouds
Ekaterina Rapinchuk (Michigan State University)
 Thematic Program Workshop
September 14, 2020 Reducibility and Statistical-Computational Gaps from Secret Leakage
Guy Bresler (Massachusetts Institute of Technology)
 Thematic Program Workshop
September 14, 2020 A Self-avoiding Approximate Mean Curvature Flow
Simon Masnou (Université Claude-Bernard (Lyon I))
 Thematic Program Workshop
Industrial Problems Seminar
Industrial Problems Seminar
Date Title / Speaker
April 23, 2021 Finding Effective Spreaders for Fast Communication in Small and Large Networks
Fern Hunt (National Institute of Standards and Technology)
 Industrial Problems Seminar
March 26, 2021 Law - Math = Injustice: A Story of Conflict
Eric Ben-Artzi (Gannuity)
 Industrial Problems Seminar
February 26, 2021 Data Science at The New York Times
Chris Wiggins (Columbia University)
 Industrial Problems Seminar
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

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