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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.
Data Science Seminar
Data Science Seminar
Date Title / Speaker
November 23, 2021 The Scattering Transform for Texture Synthesis and Molecular Generation
Michael Perlmutter (University of California, Los Angeles)
 Data Science Seminar
November 09, 2021 Non-Parametric Estimation of Manifolds from Noisy Data

Yariv Aizenbud (Yale University)

 Data Science Seminar
October 19, 2021 Data depths meet Hamilton-Jacobi equations

Ryan Murray (North Carolina State University)

 Data Science Seminar
October 12, 2021 Organizational Collaboration with Assisted Learning

Jie Ding (University of Minnesota, Twin Cities)

 Data Science Seminar
October 05, 2021 Scalable and Sample-Efficient Active Learning for Graph-Based Classification

Kevin Miller (University of California, Los Angeles)

 Data Science Seminar
September 21, 2021 Handling model uncertainties via informative Goodness-of-Fit

Sara Algeri (University of Minnesota, Twin Cities)

 Data Science Seminar
September 14, 2021 PDE-inspired Methods for Graph-based Semi-supervised Learning
Jeff Calder (University of Minnesota, Twin Cities)
 Data Science Seminar
Industrial Problems Seminar
Industrial Problems Seminar
Date Title / Speaker
December 10, 2021 From Perception to Understanding: The Third Wave of AI

Tetiana Grinberg (Intel Corporation)

 Industrial Problems Seminar
December 03, 2021 Licensed to Analyze? An In-Depth Look at the Data Science Career: Defining Roles, Assessing Skills
Hamit Hamutcu (Initiative for Analytics and Data Science Standards (IADSS))
 Industrial Problems Seminar
October 22, 2021 Predicting Tomorrow: Industrial Forecasting at Scale

Jimmy Broomfield (Target Corporation)

 Industrial Problems Seminar
October 15, 2021 Data Scientists under attack!! Let's help them together

Sharath Dhamodaran (OptumLabs)

 Industrial Problems Seminar
October 08, 2021 Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory

Juan Restrepo (Oregon State University)

 Industrial Problems Seminar
October 01, 2021 Long-term Time Series Forecasting and Data Generated by Complex Systems
Kaisa Taipale (CH Robinson)
 Industrial Problems Seminar
September 10, 2021 Being Smart and Dumb: Building the Sports Analytics Industry

Dean Oliver ( NBA's Washington Wizards)

 Industrial Problems Seminar
Thematic Program Workshop
Optimal Control, Optimal Transport, and Data Science
Date Title / Speaker
November 13, 2020 Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Katy Craig (University of California, Santa Barbara)
 Thematic Program Workshop
November 12, 2020 Information in Mean Field Control
Aaron Palmer (University of British Columbia)
 Thematic Program Workshop
November 12, 2020 Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning
Robert Kohn (New York University)
 Thematic Program Workshop
November 12, 2020 Stochastic Methods for Optimal Transport in Machine Learning Applications
Aude Genevay (Massachusetts Institute of Technology)
 Thematic Program Workshop
November 12, 2020 Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang (École Normale Supérieure)
 Thematic Program Workshop
November 11, 2020 A Fast Approach to Optimal Transport: The Back-and-forth Method
Matthew Jacobs (University of California, Los Angeles)
 Thematic Program Workshop
November 11, 2020 Active Learning and Optimal Experimental Design
Eldad Haber (University of British Columbia)
 Thematic Program Workshop
November 11, 2020 Optimal Control of Fluid Transport Networks
Anatoly Zlotnik (Los Alamos National Laboratory)
 Thematic Program Workshop
November 11, 2020 Streaming Computation of Optimal Weak Transport Barycenters
Elsa Cazelles (Institut de Recherche en Informatique de Toulouse)
 Thematic Program Workshop
November 10, 2020 A PDE Interpretation of Prediction with Expert Advice
Nadejda Drenska (University of Minnesota, Twin Cities)
 Thematic Program Workshop
November 10, 2020 Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization
Adam Oberman (McGill University)
 Thematic Program Workshop
November 10, 2020 On The Convergence of MMD GANs: A Theory via Parametric Kernelized Gradient Flows
Youssef Mroueh (IBM)
 Thematic Program Workshop
November 10, 2020 Deep Learning and Optimal Control
Weinan E (Princeton University)
 Thematic Program Workshop
November 09, 2020 Summarizing and Analyzing Data using Optimal Transport
Justin Solomon (Massachusetts Institute of Technology)
 Thematic Program Workshop
November 09, 2020 Graphical Optimal Transport
Yongxin Chen (Georgia Institute of Technology)
 Thematic Program Workshop
November 09, 2020 Learned Adversarial Regularisers
Carola Schoenlieb (University of Cambridge (Cambridge, GB))
 Thematic Program Workshop

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