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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
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
September 08, 2020 Does Deep Learning Solve the Phase Retrieval Problem?
Ju Sun (University of Minnesota, Twin Cities)
 Data Science Seminar
Public Lecture
Public Lecture Series
Date Title / Speaker
February 09, 2021 Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University)
 Public Lecture
Special Workshop
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
Date Title / Speaker
July 15, 2020 Interview with Dr. Pamela E. Harris
Pamela Harris (Williams College)
 Special Workshop
July 14, 2020 Panel Discussion Special Workshop
July 14, 2020 Finding and Solving My Problem – A Conversation with Dr. Adrian Coles
Adrian Coles (Eli Lilly and Company)
 Special Workshop
Computational Imaging
Date Title / Speaker
October 18, 2019 Challenges and Opportunities in Magnetic Resonance Fingerprinting
Nicole Seiberlich (University of Michigan)
 Special Workshop
October 18, 2019 Computational Radar Imaging
Mujdat Cetin (University of Rochester)
 Special Workshop
October 17, 2019 Rise of the machines (in MR image reconstruction)
Florian Knoll (NYU Langone Medical Center)
 Special Workshop
October 17, 2019 Computational Imaging: From structured low-rank methods to model based deep learning.
Mathews Jacob (The University of Iowa)
 Special Workshop
October 17, 2019 Computational Imaging: Beyond the limits imposed by lenses
Ashok Veeraraghavan (Rice University)
 Special Workshop
October 17, 2019 Modeling and removal of correlated noise using nonlocal patch-based collaborative filters, with applications to direct and inverse imaging
Alessandro Foi (Tampere University of Technology)
 Special Workshop
October 17, 2019 Fourier Multispectral Imaging
Keigo Hirakawa (University of Dayton)
 Special Workshop
October 17, 2019 Three Short Stories About Image Denoising
Mario Figueiredo (Instituto Superior Tecnico)
 Special Workshop
October 16, 2019 Data and Image Domain Deep Learning for Tomographic Computational Imaging
W. Clem Karl (Boston University)
 Special Workshop
October 16, 2019 Machine Learning for Tomographic Imaging
Ge Wang (Rensselaer Polytechnic Institute)
 Special Workshop
October 16, 2019 Novel CT Data Acquisition and Processing
Joseph Stayman (Johns Hopkins University)
 Special Workshop
October 16, 2019 Faster Guaranteed GAN-based recovery in Linear Inverse Problems
Yoram Bresler (University of Illinois at Urbana-Champaign)
 Special Workshop
October 16, 2019 Coherent Optical Processing with Machine Learning
Charles Bouman (Purdue University)
 Special Workshop
October 15, 2019 Computational Imaging with Deep Learning
Orazio Gallo (NVIDIA Corporation)
 Special Workshop
October 15, 2019 Tutorial on Python Programming for Computational Imaging
Frank Ong (Stanford University)
 Special Workshop

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