Campuses:

Talks

Date Title / Speaker Event
March 19, 2021 Lecture
Daniel Kaslovsky (Automox)
Industrial Problems Seminar
March 05, 2021 Lecture
Tanya Grinberg (Symbiokinetics Inc)
Industrial Problems Seminar
March 02, 2021 Lecture
Jianfeng Lu (Duke University)
Data Science Seminar
February 23, 2021 Lecture
Facundo Mémoli (The Ohio State University)
Data Science Seminar
February 19, 2021 Lecture
Ali Pinar (Sandia National Laboratories)
Industrial Problems Seminar
February 09, 2021 Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University)
Public Lecture Series
February 09, 2021 Lecture
Kenth Monsen (Telenor)
Data Science Seminar
February 05, 2021 Lecture
Angelique Johnson (MEMStim LLC)
Industrial Problems Seminar
February 02, 2021 Lecture
Wenjing Liao (Georgia Institute of Technology)
Data Science Seminar
January 29, 2021 Lecture
Hany Farag (Canadian Imperial Bank of Commerce (CIBC))
Industrial Problems Seminar
January 26, 2021 Lecture
Amir Sagiv (Columbia University)
Data Science Seminar
January 22, 2021 Lecture
Edo Liberty (HyperCube)
Industrial Problems Seminar
January 19, 2021 Lecture
Dimitris Giannakis (Courant Institute of Mathematical Sciences)
Data Science Seminar
January 12, 2021 Lecture
Lillian Pierce (Duke University)
Public Lecture Series
December 15, 2020 Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University)
Data Science Seminar
December 11, 2020 COVID Modeling: Testing Scenarios and Geographical Networks
Natalie Sheils (UnitedHealth Group)
Industrial Problems Seminar
December 08, 2020 Understanding Convolutional Neural Networks Through Signal Processing
Matthew Hirn (Michigan State University)
Data Science Seminar
December 04, 2020 Digital Health Technology for Heart Failure Diagnostic Monitoring
Julie Thompson (Boston Scientific)
Industrial Problems Seminar
December 01, 2020 Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains
Xiuyuan Cheng (Duke University)
Data Science Seminar
November 24, 2020 Multiway Tensor Analysis with Neuroscience Applications
Gal Mishne (University of California, San Diego)
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 13, 2020 The Evolution of Basketball with Data Science
Ivana Seric (Philadelphia 76ers)
Industrial Problems Seminar
November 13, 2020 Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Katy Craig (University of California, Santa Barbara)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Information in Mean Field Control
Aaron Palmer (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning
Robert Kohn (New York University)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Stochastic Methods for Optimal Transport in Machine Learning Applications
Aude Genevay (Massachusetts Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang (École Normale Supérieure)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 A Fast Approach to Optimal Transport: The Back-and-forth Method
Matthew Jacobs (University of California, Los Angeles)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Active Learning and Optimal Experimental Design
Eldad Haber (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Optimal Control of Fluid Transport Networks
Anatoly Zlotnik (Los Alamos National Laboratory)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Streaming Computation of Optimal Weak Transport Barycenters
Elsa Cazelles (Institut de Recherche en Informatique de Toulouse)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 A PDE Interpretation of Prediction with Expert Advice
Nadejda Drenska (University of Minnesota, Twin Cities)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 Natural Graph Wavelet Packets
Naoki Saito (University of California, Davis)
Data Science Seminar
November 10, 2020 Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization
Adam Oberman (McGill University)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 On The Convergence of MMD GANs: A Theory via Parametric Kernelized Gradient Flows
Youssef Mroueh (IBM)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 Deep Learning and Optimal Control
Weinan E (Princeton University)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Summarizing and Analyzing Data using Optimal Transport
Justin Solomon (Massachusetts Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Graphical Optimal Transport
Yongxin Chen (Georgia Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Learned Adversarial Regularisers
Carola Schoenlieb (University of Cambridge (Cambridge, GB))
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 The Quadratic Wasserstein Metric for Inverse Data Matching Problems
Yunan Yang (New York University)
Optimal Control, Optimal Transport, and Data Science
November 07, 2020 Concluding Remarks
David Goldberg (Purdue University), Phil Kutzko (The University of Iowa), Oscar Vega (California State University)
2020 Field of Dreams Conference
November 07, 2020 Plenary Conversation II
Donald Cole (University of Mississippi), David Goldberg (Purdue University), Fabrice Ulysse (University of Notre Dame), Oscar Vega (California State University)
2020 Field of Dreams Conference
November 07, 2020 Fields of Success - Stories from Math Alliance Alumni
Julia Anderson-Lee (The Boeing Company), Alexander Diaz-Lopez (Villanova University), April Harry (Rover.com), Anarina Murillo (Brown University), Roberto Soto (California State University), Oscar Vega (California State University)
2020 Field of Dreams Conference
November 07, 2020 Report of the Math Alliance Leadership
David Goldberg (Purdue University), Phil Kutzko (The University of Iowa), Kyndra Middleton (Howard University)
2020 Field of Dreams Conference
November 07, 2020 Panel 5: Preparing for Graduate School
Joe Omojola (Southern University at New Orleans), Vanessa Quiñonez (Sagrado Global)
2020 Field of Dreams Conference
November 07, 2020 Panel 4: Preparing for your First Professional Position (graduate students)
Ariel Leslie (Lockheed Martin), Leslie McClure (Drexel University), Reginald McGee (College of the Holy Cross)
2020 Field of Dreams Conference
November 07, 2020 Morning Remarks
Kyndra Middleton (Howard University)
2020 Field of Dreams Conference
November 06, 2020 Active Community Detection with Maximal Expected Model Change
Dan Kushnir (Nokia Bell Labs)
Industrial Problems Seminar
November 06, 2020 Plenary Conversation 1
Ranthony Edmonds (The Ohio State University), Phil Kutzko (The University of Iowa), Victoria Uribe (Arizona State University)
2020 Field of Dreams Conference
November 06, 2020 Guided Conversation 3: Mentoring Across the Continuum (faculty)
Edray Goins (Pomona College), William Vélez (University of Arizona)
2020 Field of Dreams Conference
November 06, 2020 Panel 3: Careers in Government and Industry
Edray Goins (Pomona College), Roosevelt Johnson (Math Alliance), Calandra Moore (Department of Defense), David Murillo (American Express), Venkat Sethuraman (Bristol-Myers Squibb), William Vélez (University of Arizona)
2020 Field of Dreams Conference
November 06, 2020 Guided Conversation 2: Best Practices for Mentoring Graduate Students (faculty)
Edray Goins (Pomona College)
2020 Field of Dreams Conference
November 06, 2020 Guided Conversation 1: Best Practices for Mentoring Undergraduate Students (faculty)
William Vélez (University of Arizona)
2020 Field of Dreams Conference
November 06, 2020 Panel 2: Maximizing Productivity in Graduate School (graduate students)
Ayo Adeniran (Pomona College), Syvillia Averett (College of Coastal Georgia), Julianne Vega (Kennesaw State College)
2020 Field of Dreams Conference
November 06, 2020 Panel 1: The Value of Undergraduate Research Experiences (undergraduate students)
Alexander Barrios (Carleton College), Melissa Gonzalez (Occidental College), Zsuzsanna Szaniszlo (Valparaiso University)
2020 Field of Dreams Conference
November 06, 2020 Welcome Remarks 2020 Field of Dreams Conference
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 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 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 23, 2020 An Introduction to Image Compression, Old and New
Chris Finlay (Deep Render)
Industrial Problems 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 16, 2020 Systems Modeling in Biopharma
Helen Moore (Applied BioMath)
Industrial Problems Seminar
October 13, 2020 Geometric Methods in Statistics, Optimization, and Sampling
Tyler Maunu (Massachusetts Institute of Technology)
Data Science Seminar
October 12, 2020 Let me try to do something useless...: How mathematics surprises us with real-world applications, even when we least expect it
Lillian Pierce (Duke University)
Public Lecture Series
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
October 02, 2020 Combinatorial Algorithms for National Security
Cynthia Phillips (Sandia National Laboratories)
Industrial Problems 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 25, 2020 The Technical and Organizational Challenges of Data Science
Catherine (Katy) Micek (3M)
Industrial Problems Seminar
September 22, 2020 Matrix Denoising with Weighted Loss
William Leeb (University of Minnesota, Twin Cities)
Data Science Seminar
September 18, 2020 SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities)
Industrial Problems Seminar
September 18, 2020 Learning Ill-Conditioned Gaussian Graphical Models
Raghu Meka (University of California, Los Angeles)
Theory and Algorithms in Graph-based Learning
September 18, 2020 Learning Discrete Graphical Models: Exact & Neural Network Assisted Methods
Marc Vuffray (Los Alamos National Laboratory)
Theory and Algorithms in Graph-based Learning
September 18, 2020 Learning Restricted Boltzmann Machines
Ankur Moitra (Massachusetts Institute of Technology)
Theory and Algorithms in Graph-based Learning
September 17, 2020 On Wasserstein Gradient Flows and the Search of Neural Network Architectures
Nicolas Garcia Trillos (University of Wisconsin, Madison)
Theory and Algorithms in Graph-based Learning
September 17, 2020 Community Detection Using Total Variation and Surface Tension
Zach Boyd (University of North Carolina, Chapel Hill)
Theory and Algorithms in Graph-based Learning
September 17, 2020 Vertex Nomination, Consistent Estimation, and Adversarial Modification
Vince Lyzinski (University of Maryland)
Theory and Algorithms in Graph-based Learning
September 17, 2020 L-Infinity Variational Problems on Graphs: Applications and Continuum Limits
Leon Bungert (Friedrich-Alexander-Universität Erlangen-Nürnberg), Tim Roith (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Theory and Algorithms in Graph-based Learning
September 16, 2020 Computational Complexity and Forbidden Graph Patterns
Puck Rombach (University of Vermont)
Theory and Algorithms in Graph-based Learning
September 16, 2020 Bias-Variance Tradeoffs in Joint Spectral Embeddings
Daniel Sussman (Boston University)
Theory and Algorithms in Graph-based Learning
September 16, 2020 When Labelling Hurts: Learning to Classify Large-Scale Data with Minimal Supervision
Angelica Aviles-Rivero (University of Cambridge)
Theory and Algorithms in Graph-based Learning
September 15, 2020 Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization
Yifei Lou (University of Texas at Dallas)
Theory and Algorithms in Graph-based Learning
September 15, 2020 On Anisotropic Diffusion Equations for Label Propagation
Lisa-Maria Kreusser (University of Cambridge)
Theory and Algorithms in Graph-based Learning
September 15, 2020 Graph Structure of Neural Networks
Jure Leskovec (Stanford University)
Theory and Algorithms in Graph-based Learning
September 15, 2020 Using Continuum Limits To Understand Data Clustering And Classification
Franca Hoffmann (California Institute of Technology)
Theory and Algorithms in Graph-based Learning
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)
Theory and Algorithms in Graph-based Learning
September 14, 2020 Reducibility and Statistical-Computational Gaps from Secret Leakage
Guy Bresler (Massachusetts Institute of Technology)
Theory and Algorithms in Graph-based Learning
September 14, 2020 Robust Group Synchronization via Cycle-Edge Message Passing
Gilad Lerman (University of Minnesota, Twin Cities)
Theory and Algorithms in Graph-based Learning
September 14, 2020 A Self-avoiding Approximate Mean Curvature Flow
Simon Masnou (Université Claude-Bernard (Lyon I))
Theory and Algorithms in Graph-based Learning
September 11, 2020 Flying High with Math
Sharon Arroyo (The Boeing Company), Shabnam Khamooshi (The Boeing Company)
Industrial Problems Seminar
September 08, 2020 Does Deep Learning Solve the Phase Retrieval Problem?
Ju Sun (University of Minnesota, Twin Cities)
Data Science Seminar
August 18, 2020 Fairness, Accountability, and Transparency: (Counter)-Examples from Predictive Models in Criminal Justice
Kristian Lum (University of Pennsylvania)
Data Science Seminar
August 04, 2020 A Network Science Approach for Controlling Epidemic Outbreaks
Anil Vullikanti (University of Virginia)
Data Science Seminar
July 15, 2020 Interview with Dr. Pamela E. Harris
Pamela Harris (Williams College)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 14, 2020 Mentor Discussion: Effective Mentoring Skills Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 14, 2020 Student Discussion: Grad School Life Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 14, 2020 Panel Discussion Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 14, 2020 Finding and Solving My Problem – A Conversation with Dr. Adrian Coles
Adrian Coles (Eli Lilly and Company)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 14, 2020 Introduction Activity
William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 13, 2020 Student and Mentor Activities
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer), Nicole Joseph (Vanderbilt University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
July 13, 2020 Student and Mentor Activities
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer), Nicole Joseph (Vanderbilt University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop

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