Campuses:

Talks

Date Title / Speaker Eventsort ascending
October 29, 2019 Highly Likely Clusterable Data With No Cluster
Mimi Boutin (Purdue University)
Data Science Seminar
October 01, 2019 Citizen Science and Machine Learning at Zooniverse
Darryl Wright (University of Minnesota, Twin Cities)
Data Science Seminar
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
January 21, 2020 Linear Unbalanced Optimal Transport
Matthew Thorpe (University of Cambridge)
Data Science Seminar
February 18, 2020 From Clustering with Graph Cuts to Isoperimetric Inequalities: Quantitative Convergence Rates of Cheeger Cuts on Data Clouds
Nicolas Garcia Trillos (University of Wisconsin, Madison)
Data Science Seminar
January 28, 2020 SEMINAR IS CANCELED - Machine Learning Meets Societal Values

Steven Wu (University of Minnesota, Twin Cities) - SEMINAR IS CANCELED

Data Science Seminar
October 08, 2019 Parallel Transport Convolutional Neural Networks on Manifolds
Rongjie Lai (Rensselaer Polytechnic Institute)
Data Science Seminar
September 03, 2019 Where and What to Look: Learning to Understand the Visual World in Autistic Brains
Catherine Zhao (University of Minnesota, Twin Cities)
Data Science Seminar
September 24, 2019 The Geometry of Ambiguity in One-dimensional Phase Retrieval
Dan Edidin (University of Missouri)
Data Science Seminar
October 11, 2019 Data Science in Healthcare
Yinglong Guo (UnitedHealth Group)
Industrial Problems Seminar
October 03, 2019 Language and Interaction in Minecraft
Arthur Szlam (Facebook)
Industrial Problems 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
February 28, 2020 Some Characteristics of Research in Finance
Onur Ozyesil (Helm.ai)
Industrial Problems Seminar
May 22, 2020 AI for COVID-19: An Online Virtual Care Approach
Xavier Amatriain (Curai)
Industrial Problems Seminar
October 25, 2019 Gamma Guidance - The Mathematics Applied to a Launch Vehicle
Gary Green (The Aerospace Corporation)
Industrial Problems Seminar
February 21, 2020 Profiles of Math Careers in the Industry
Martin Lacasse (ExxonMobil)
Industrial Problems Seminar
September 27, 2019 Sampling from an Alternate Universe: Overview of Privacy-preserving Synthetic Data
Christine Task (Knexus Research Corporation)
Industrial Problems Seminar
January 31, 2020 How NextEra Analytics Applies Math to Problems in Coupled Renewable and Energy Storage Systems
Madeline Handschy (NextEra Analytics Inc)
Industrial Problems Seminar
October 11, 2019 Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics I
Tim Bodin (Cargill, Inc.)
Industrial Problems Seminar
October 11, 2019 Preparation for the MinneMUDAC Competition: On Predicting Commodity Closing Prices for Soybeans
Kylie Mitchell (Cargill, Inc.)
Industrial Problems Seminar
November 22, 2019 Machine Learning Problems at Target
Mauricio Flores (Target Corporation)
Industrial Problems Seminar
October 18, 2019 Preparation for the MinneMUDAC Competition: Principals of Agricultural Economics II
Tim Bodin (Cargill, Inc.)
Industrial Problems Seminar
September 16, 2019 ML under a Modern Optimization Lens
Dimitris Bertsimas (Massachusetts Institute of Technology)
Recent Progress in Foundational Data Science
September 16, 2019 Functional data analysis for activity profiles from wearable devices
Ian McKeague (Columbia University)
Recent Progress in Foundational Data Science
September 16, 2019 Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation
Runze Li (The Pennsylvania State University)
Recent Progress in Foundational Data Science
September 17, 2019 Gaussian Complexity, Metric Entropy, and the Statistical Learning of Deep Nets
Andrew Barron (Yale University)
Recent Progress in Foundational Data Science
September 17, 2019 Nonlinear PDEs and regularization in machine learning
Jeff Calder (University of Minnesota, Twin Cities)
Recent Progress in Foundational Data Science
September 16, 2019 Envelope Methods
Dennis Cook (University of Minnesota, Twin Cities)
Recent Progress in Foundational Data Science
June 26, 2019 Very Tiny Knots in Nature

Kenneth Millett (University of California, Santa Barbara)

Public Lecture Series
June 06, 2019 Introduction and Overview
William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already)
Rebecca Nugent (Carnegie Mellon University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: Support Your vocals like Destiny's Child supported Beyonce
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 The Quite Reasonable Effectiveness of Mathematical Sciences
Juan Meza (National Science Foundation)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Welcome Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Panel Discussion: Emerging Opportunities for Applied Mathematics and Data Science PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: I know you are, but what am I?
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Mentor Activity: Attracting and Mentoring Students in A Multicultural Context
Helena Noronha (California State University Northridge), Joe Omojola (Southern University at New Orleans)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 On some examples of statistical applications
Javier Rojo (Oregon State University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Student Activity: Hands-on Statistics / Machine-Learning Tutorial

Alicia Johnson (Macalester College)

Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Bringing Industrial Applications to the Mathematics Classroom
Galin Jones (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Make great money, change the world (for the better): PhD options in Management and Economics
David Hummels (Purdue University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Panel Discussion: Emerging Opportunities for Applied Statistics and Quantitative Finance PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Student Activity: Finding your Focus in Graduate School
Roy Araiza (Purdue University), Ty Frazier (University of Minnesota, Twin Cities), Richard McGehee (University of Minnesota, Twin Cities), Adrienne Sands (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Creating an Action Plan
Joe Omojola (Southern University at New Orleans), William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
October 17, 2019 Computational Imaging: Beyond the limits imposed by lenses
Ashok Veeraraghavan (Rice University)
Computational Imaging
October 14, 2019 Welcome Remarks 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 14, 2019 Computational Microscopy
Laura Waller (University of California, Berkeley)
Computational Imaging
October 16, 2019 Novel CT Data Acquisition and Processing
Joseph Stayman (Johns Hopkins University)
Computational Imaging
October 15, 2019 Affiliated Data Science Seminar: Simple Approaches to Complicated Data Analysis
Deanna Needell (University of California, Los Angeles)
Computational Imaging
October 14, 2019 Interpreting Photon and Electron Detections to Form Images
Vivek Goyal (Boston University)
Computational Imaging
October 16, 2019 Machine Learning for Tomographic Imaging
Ge Wang (Rensselaer Polytechnic Institute)
Computational Imaging
October 14, 2019 Surfing the Technology Wave 2019 and Algorithm-Hardware Co-Design - Industry Perspective + Q&A
Sergio Goma (QUALCOMM)
Computational Imaging
October 16, 2019 Data and Image Domain Deep Learning for Tomographic Computational Imaging
W. Clem Karl (Boston University)
Computational Imaging
October 14, 2019 Dictionary and model-based methods in quantitative MRI reconstruction
Mariya Doneva (Philips Research Laboratory)
Computational Imaging
October 17, 2019 Welcome Remarks Computational Imaging
October 14, 2019 A simple 2D graphing tool for the convergence of fixed-point iterations and plug-and-play methods
Wotao Yin (University of California, Los Angeles)
Computational Imaging
October 17, 2019 Three Short Stories About Image Denoising
Mario Figueiredo (Instituto Superior Tecnico)
Computational Imaging
October 14, 2019 Data Compression in Distributed Learning
Ming Yan (Michigan State University)
Computational Imaging
October 17, 2019 Fourier Multispectral Imaging
Keigo Hirakawa (University of Dayton)
Computational Imaging
October 15, 2019 Welcome Remarks 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 15, 2019 Cryo-Electron Microscopy Image Analysis with Multi-Frequency Vector Diffusion Maps
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
Computational Imaging
October 14, 2019 Tutorial on Julia Programming for Computational Imaging
Jeff Fessler (University of Michigan)
Computational Imaging
October 15, 2019 Imaging the Unseen: Taking the First Picture of a Black Hole
Katie Bouman (California Institute of Technology)
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 15, 2019 Computational Methods for Large-scale Inverse Problems: Data-driven VS Physics-driven or Combined?
Youzuo Lin (Los Alamos National Laboratory)
Computational Imaging
October 17, 2019 Rise of the machines (in MR image reconstruction)
Florian Knoll (NYU Langone Medical Center)
Computational Imaging
October 15, 2019 Tutorial on Python Programming for Computational Imaging
Frank Ong (Stanford University)
Computational Imaging
October 18, 2019 Welcome Remarks Computational Imaging
October 15, 2019 Computational Imaging with Deep Learning
Orazio Gallo (NVIDIA Corporation)
Computational Imaging
October 18, 2019 Computational Radar Imaging
Mujdat Cetin (University of Rochester)
Computational Imaging
October 18, 2019 Challenges and Opportunities in Magnetic Resonance Fingerprinting
Nicole Seiberlich (University of Michigan)
Computational Imaging
October 16, 2019 Welcome Remarks Computational Imaging
October 18, 2019 Q&A/Closing Remarks
Brendt Wohlberg (Los Alamos National Laboratory)
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
June 03, 2019 Electron hydrodynamics and Hall viscosity Keywords of presentations: Hydrodynamics, Hall viscosity
Thomas Scaffidi (University of California, Berkeley)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron transport on the hexagonal Fermi surface of PdCoO2
Maja Bachmann (Max-Planck-Gesellschaft)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron hydrodynamics with a polygon Fermi surface
Andrew Lucas (Stanford University)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Electron Hydrodynamics in Graphene: Introduction and Status
Denis Bandurin (Massachusetts Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 A spectral decomposition approach for the conductivity response of a 2D electron fluid
Matthias Maier (Texas A & M University)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Hydrodynamic magnetoplasmon resonance and Hall viscosity in resistance of correlated electron-double-layer liquids
Alex Levchenko (University of Wisconsin, Madison)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Topological invariants for interface modes
Guillaume Bal (University of Chicago)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Thermal and electrical signatures of a hydrodynamic electron fluid in WP2
Fabian Menges (University of Colorado)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 Electron hydrodynamics in Dirac Systems
Joerg Schmalian (Karlsruhe Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Probing Hydrodynamic Materials from First Principles
Jennifer Coulter (Harvard University)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Acoustic plasmons at the crossover between the collisionless and hydrodynamic regimes in two-dimensional electron liquids
Marco Polini (Istituto Italiano di Tecnologia)
Hydrodynamic Models for Transport in 2D Materials
June 07, 2019 Lecture
Vera Andreeva (University of Minnesota, Twin Cities)
Hydrodynamic Models for Transport in 2D Materials
August 19, 2019 Introduction to teams and topics: Teams 4 - 6
Debra Boutin (Hamilton College), Sally Cockburn (Hamilton College), Linda Eroh (University of Wisconsin at Oshkosh), Ruth Haas (University of Hawaii at Manoa), Ortud Oellermann (University of Winnipeg), Karen Seyffarth (University of Calgary)
Workshop for Women in Graph Theory and Applications (WIGA)
August 22, 2019 Old and new problems on hypercubes
Fan Chung Graham (University of California, San Diego)
Workshop for Women in Graph Theory and Applications (WIGA)
August 19, 2019 WIGA Goals
Linda Lesniak (Western Michigan University)
Workshop for Women in Graph Theory and Applications (WIGA)
August 19, 2019 Introduction to teams and topics: Teams 1 - 3
Jill Faudree (University of Alaska), Daniela Ferrero (Texas State University-San Marcos), Leslie Hogben (Iowa State University), Christine Kelley (University of Nebraska), Linda Lesniak (Western Michigan University), Gretchen Matthews (Virginia Polytechnic Institute and State University)
Workshop for Women in Graph Theory and Applications (WIGA)
June 18, 2019 Robust Subspace Recovery with Adversarial Outliers
Tyler Maunu (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 Gaps in Information Access in Social Networks
Suresh Venkatasubramanian (The University of Utah)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Mean estimation for entangled single-sample distributions
Po-Ling Loh (University of Wisconsin, Madison)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 Locally Private Bayesian Inference for Count Models
Steven Wu (University of Minnesota, Twin Cities)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Learning Models with Uniform Performance via Distributionally Robust Optimization
John Duchi (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Towards Practical Notions of Individual Fairness
Aaron Roth (University of Pennsylvania)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Predictive inference with the jackknife+
Rina Barber (University of Chicago)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness

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