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March 19, 2021 |
Lecture
Daniel Kaslovsky (Automox) |
Industrial Problems Seminar |
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March 05, 2021 |
Lecture
Tanya Grinberg (Symbiokinetics Inc) |
Industrial Problems Seminar |
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March 02, 2021 |
Lecture
Jianfeng Lu (Duke University) |
Data Science Seminar |
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February 23, 2021 |
Lecture
Facundo Mémoli (The Ohio State University) |
Data Science Seminar |
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February 19, 2021 |
Lecture
Ali Pinar (Sandia National Laboratories) |
Industrial Problems Seminar |
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February 12, 2021 |
Lecture
Matthew Herman (InView Technology Corporation) |
Industrial Problems Seminar |
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February 09, 2021 |
Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University) |
Public Lecture Series |
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February 09, 2021 |
Using Telco Data to Fight Epidemics
Kenth Monsen (Telenor Research) |
Data Science Seminar |
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February 05, 2021 |
Manufacturing Pitfalls to Avoid in Commercialization
Angelique Johnson (MEMStim LLC) |
Industrial Problems Seminar |
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February 02, 2021 |
Regression of Functions on Low-dimensional Manifolds by Neural Networks
Wenjing Liao (Georgia Institute of Technology) |
Data Science Seminar |
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January 29, 2021 |
Contemporary Problems in Market Risk Modeling
Hany Farag (Canadian Imperial Bank of Commerce (CIBC)) |
Industrial Problems Seminar |
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January 26, 2021 |
An Optimal Transport Perspective on Uncertainty Propagation
Amir Sagiv (Columbia University) |
Data Science Seminar |
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January 22, 2021 |
The Rise of the Vector Database
Edo Liberty (Pinecone) |
Industrial Problems Seminar |
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January 19, 2021 |
Quantum Compiler for Classical Dynamical Systems
Dimitris Giannakis (Courant Institute of Mathematical Sciences) |
Data Science Seminar |
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January 12, 2021 |
What We Talk About When We Talk About Math
Lillian Pierce (Duke University) |
Public Lecture Series |
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December 15, 2020 |
Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University) |
Data Science Seminar |
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December 11, 2020 |
COVID Modeling: Testing Scenarios and Geographical Networks
Natalie Sheils (UnitedHealth Group) |
Industrial Problems Seminar |
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December 08, 2020 |
Understanding Convolutional Neural Networks Through Signal Processing
Matthew Hirn (Michigan State University) |
Data Science Seminar |
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December 04, 2020 |
Digital Health Technology for Heart Failure Diagnostic Monitoring
Julie Thompson (Boston Scientific) |
Industrial Problems Seminar |
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December 01, 2020 |
Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains
Xiuyuan Cheng (Duke University) |
Data Science Seminar |
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November 24, 2020 |
Multiway Tensor Analysis with Neuroscience Applications
Gal Mishne (University of California, San Diego) |
Data Science Seminar |
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November 17, 2020 |
Fast Statistical and Geometric Distances Between Families of Distributions
Alexander Cloninger (University of California, San Diego) |
Data Science Seminar |
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November 13, 2020 |
The Evolution of Basketball with Data Science
Ivana Seric (Philadelphia 76ers) |
Industrial Problems Seminar |
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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 |
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November 12, 2020 |
Information in Mean Field Control
Aaron Palmer (University of British Columbia) |
Optimal Control, Optimal Transport, and Data Science |
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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 |
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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 |
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November 12, 2020 |
Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang (École Normale Supérieure) |
Optimal Control, Optimal Transport, and Data Science |
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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 |
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November 11, 2020 |
Active Learning and Optimal Experimental Design
Eldad Haber (University of British Columbia) |
Optimal Control, Optimal Transport, and Data Science |
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November 11, 2020 |
Optimal Control of Fluid Transport Networks
Anatoly Zlotnik (Los Alamos National Laboratory) |
Optimal Control, Optimal Transport, and Data Science |
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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 |
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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 |
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November 10, 2020 |
Natural Graph Wavelet Packets
Naoki Saito (University of California, Davis) |
Data Science Seminar |
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November 10, 2020 |
Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization
Adam Oberman (McGill University) |
Optimal Control, Optimal Transport, and Data Science |
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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 |
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November 10, 2020 |
Deep Learning and Optimal Control
Weinan E (Princeton University) |
Optimal Control, Optimal Transport, and Data Science |
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November 09, 2020 |
Summarizing and Analyzing Data using Optimal Transport
Justin Solomon (Massachusetts Institute of Technology) |
Optimal Control, Optimal Transport, and Data Science |
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November 09, 2020 |
Graphical Optimal Transport
Yongxin Chen (Georgia Institute of Technology) |
Optimal Control, Optimal Transport, and Data Science |
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November 09, 2020 |
Learned Adversarial Regularisers
Carola Schoenlieb (University of Cambridge (Cambridge, GB)) |
Optimal Control, Optimal Transport, and Data Science |
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November 09, 2020 |
The Quadratic Wasserstein Metric for Inverse Data Matching Problems
Yunan Yang (New York University) |
Optimal Control, Optimal Transport, and Data Science |
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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 |
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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 |
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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 |
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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 |
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November 07, 2020 |
Panel 5: Preparing for Graduate School
Joe Omojola (Southern University at New Orleans), Vanessa Quiñonez (Sagrado Global), Isaac Wright (Pennsylvania State University) |
2020 Field of Dreams Conference |
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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 |
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November 07, 2020 |
Morning Remarks
Kyndra Middleton (Howard University) |
2020 Field of Dreams Conference |
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November 06, 2020 |
Active Community Detection with Maximal Expected Model Change
Dan Kushnir (Nokia Bell Labs) |
Industrial Problems Seminar |
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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 |
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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 |
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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 |
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November 06, 2020 |
Guided Conversation 2: Best Practices for Mentoring Graduate Students (faculty)
Edray Goins (Pomona College) |
2020 Field of Dreams Conference |
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November 06, 2020 |
Guided Conversation 1: Best Practices for Mentoring Undergraduate Students (faculty)
William Vélez (University of Arizona) |
2020 Field of Dreams Conference |
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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 |
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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 |
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November 06, 2020 |
Welcome Remarks |
2020 Field of Dreams Conference |
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November 03, 2020 |
Machine Learning Methods for Solving High-dimensional Mean-field Game Systems
Levon Nurbekyan (University of California, Los Angeles) |
Data Science Seminar |
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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 |
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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 |
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October 23, 2020 |
An Introduction to Image Compression, Old and New
Chris Finlay (Deep Render) |
Industrial Problems Seminar |
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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 |
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October 16, 2020 |
Systems Modeling in Biopharma
Helen Moore (Applied BioMath) |
Industrial Problems Seminar |
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October 13, 2020 |
Geometric Methods in Statistics, Optimization, and Sampling
Tyler Maunu (Massachusetts Institute of Technology) |
Data Science Seminar |
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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 |
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October 02, 2020 |
Combinatorial Algorithms for National Security
Cynthia Phillips (Sandia National Laboratories) |
Industrial Problems Seminar |
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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 |
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September 25, 2020 |
The Technical and Organizational Challenges of Data Science
Catherine (Katy) Micek (3M) |
Industrial Problems Seminar |
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September 22, 2020 |
Matrix Denoising with Weighted Loss
William Leeb (University of Minnesota, Twin Cities) |
Data Science Seminar |
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September 18, 2020 |
SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities) |
Industrial Problems Seminar |
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September 18, 2020 |
Learning Ill-Conditioned Gaussian Graphical Models
Raghu Meka (University of California, Los Angeles) |
Theory and Algorithms in Graph-based Learning |
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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 |
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September 18, 2020 |
Learning Restricted Boltzmann Machines
Ankur Moitra (Massachusetts Institute of Technology) |
Theory and Algorithms in Graph-based Learning |
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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 |
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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 |
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September 17, 2020 |
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Vince Lyzinski (University of Maryland) |
Theory and Algorithms in Graph-based Learning |
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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 |
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September 16, 2020 |
Computational Complexity and Forbidden Graph Patterns
Puck Rombach (University of Vermont) |
Theory and Algorithms in Graph-based Learning |
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September 16, 2020 |
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Daniel Sussman (Boston University) |
Theory and Algorithms in Graph-based Learning |
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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 |
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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 |
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September 15, 2020 |
On Anisotropic Diffusion Equations for Label Propagation
Lisa-Maria Kreusser (University of Cambridge) |
Theory and Algorithms in Graph-based Learning |
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September 15, 2020 |
Graph Structure of Neural Networks
Jure Leskovec (Stanford University) |
Theory and Algorithms in Graph-based Learning |
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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 |
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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 |
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September 14, 2020 |
Reducibility and Statistical-Computational Gaps from Secret Leakage
Guy Bresler (Massachusetts Institute of Technology) |
Theory and Algorithms in Graph-based Learning |
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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 |
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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 |
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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 |
