Campuses:

Talks

Datesort descending Title / Speaker Event
October 16, 2019 Welcome Remarks Computational Imaging
October 16, 2019 Coherent Optical Processing with Machine Learning
Charles Bouman (Purdue University)
Computational Imaging
October 16, 2019 Faster Guaranteed GAN-based recovery in Linear Inverse Problems
Yoram Bresler (University of Illinois at Urbana-Champaign)
Computational Imaging
October 16, 2019 Geometry of Convolutional Neural Networks for Computational Imaging
Jong Chul Ye (Korea Advanced Institute of Science and Technology (KAIST))
Computational Imaging
October 16, 2019 Novel CT Data Acquisition and Processing
Joseph Stayman (Johns Hopkins University)
Computational Imaging
October 16, 2019 Machine Learning for Tomographic Imaging
Ge Wang (Rensselaer Polytechnic Institute)
Computational Imaging
October 16, 2019 Data and Image Domain Deep Learning for Tomographic Computational Imaging
W. Clem Karl (Boston University)
Computational Imaging
October 17, 2019 Welcome Remarks Computational Imaging
October 17, 2019 Three Short Stories About Image Denoising
Mario Figueiredo (Instituto Superior Tecnico)
Computational Imaging
October 17, 2019 Fourier Multispectral Imaging
Keigo Hirakawa (University of Dayton)
Computational Imaging
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)
Computational Imaging
October 17, 2019 Computational Imaging: Beyond the limits imposed by lenses
Ashok Veeraraghavan (Rice University)
Computational Imaging
October 17, 2019 Computational Imaging: From structured low-rank methods to model based deep learning.
Mathews Jacob (The University of Iowa)
Computational Imaging
October 17, 2019 Rise of the machines (in MR image reconstruction)
Florian Knoll (NYU Langone Medical Center)
Computational Imaging
October 18, 2019 Welcome Remarks Computational Imaging
October 18, 2019 Computational Radar Imaging
Mujdat Cetin (University of Rochester)
Computational Imaging
October 18, 2019 Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics II
Tim Bodin (Cargill, Inc.)
Industrial Problems Seminar
October 18, 2019 Challenges and Opportunities in Magnetic Resonance Fingerprinting
Nicole Seiberlich (University of Michigan)
Computational Imaging
October 18, 2019 Q&A/Closing Remarks
Brendt Wohlberg (Los Alamos National Laboratory)
Computational Imaging
October 22, 2019 Convergence Rates and Semiconvexity Estimates for the Continuum Limit of Nondominated Sorting
Brendan Cook (University of Minnesota, Twin Cities)
Data Science Seminar
October 25, 2019 Gamma Guidance - The Mathematics Applied to a Launch Vehicle
Gary Green (The Aerospace Corporation)
Industrial Problems Seminar
October 29, 2019 Highly Likely Clusterable Data With No Cluster
Mimi Boutin (Purdue University)
Data Science Seminar
November 05, 2019 Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery
Seyedahmad Mousavi (University of Minnesota, Twin Cities)
Data Science Seminar
November 12, 2019 Latent Factor Models for Large-scale Data
Xiaoou Li (University of Minnesota, Twin Cities)
Data Science Seminar
November 15, 2019 Pipelines, Graphs, and the Language of Shopping: Architecting Next Gen Machine Learning Capabilities for Retail
Jonah White (Best Buy)
Industrial Problems Seminar
November 19, 2019 Robust Representation for Graph Data
Dongmian Zou (University of Minnesota, Twin Cities)
Data Science Seminar
November 22, 2019 Machine Learning Problems at Target
Mauricio Flores (Target Corporation)
Industrial Problems Seminar
November 26, 2019 Information Flow and Security Aspects in 1-2-1 Networks
Martina Cardone (University of Minnesota, Twin Cities)
Data Science Seminar
December 03, 2019 Exploiting Group and Geometric Structures for Massive Data Analysis
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
Data Science Seminar
December 06, 2019 Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data
Arnoldo Frigessi (Oslo University Hospital)
Data Science Seminar
January 31, 2020 Lecture
Madeline Handschy (NextEra Analytics Inc)
Industrial Problems Seminar
February 04, 2020 Lecture
Yuehaw Khoo (University of Chicago)
Data Science Seminar
February 11, 2020 Lecture
Bamdad Hosseini (California Institute of Technology)
Data Science Seminar
February 21, 2020 Lecture
Martin Lacasse (ExxonMobil)
Industrial Problems Seminar
February 28, 2020 Lecture
Onur Ozyesil (INTECH Investment Management LLC)
Industrial Problems Seminar
March 03, 2020 Lecture
Jan-Michael Frahm (Facebook)
Data Science Seminar
March 17, 2020 Lecture
Mauro Maggioni (Johns Hopkins University)
Data Science Seminar
March 24, 2020 Lecture
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
March 31, 2020 Lecture
Matthew Hirn (Michigan State University)
Data Science Seminar
April 14, 2020 Lecture
Ekaterina Rapinchuk (Michigan State University)
Data Science Seminar
April 21, 2020 Lecture
Naoki Saito (University of California, Davis)
Data Science Seminar
May 05, 2020 Lecture
Svetlana Lazebnik (University of Illinois at Urbana-Champaign)
Data Science Seminar

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