|
July 29, 2022 |
On the long-term regularity of water waves
Alexandru Ionescu (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 29, 2022 |
Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 28, 2022 |
Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 28, 2022 |
On the long-term regularity of water waves
Alexandru Ionescu (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 28, 2022 |
On the long-term regularity of water waves
Alexandru Ionescu (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 28, 2022 |
Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 27, 2022 |
Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 27, 2022 |
1d scattering theory and its application to nonlinear dispersive equations
Gong Chen (Georgia Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 27, 2022 |
Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 27, 2022 |
Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 26, 2022 |
Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 26, 2022 |
1d scattering theory and its application to nonlinear dispersive equations
Gong Chen (Georgia Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 26, 2022 |
Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 26, 2022 |
Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 25, 2022 |
Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations
Hao Jia (University of Minnesota, Twin Cities) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 25, 2022 |
1d scattering theory and its application to nonlinear dispersive equations
Gong Chen (Georgia Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 25, 2022 |
Singularity formation in incompressible fluids and related models
Jiajie Chen (California Institute of Technology) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
July 25, 2022 |
Instability and non-uniqueness in the Navier-Stokes equations
Dallas Albritton (Princeton University) |
2022 UMN Summer Workshop on Analysis of PDEs |
|
May 03, 2022 |
Free Boundary Problems on Lattices
Charles Smart (Yale University)
|
Data Science Seminar |
|
April 29, 2022 |
Simplifying Federated Learning Jobs With Flame
Myungjin Lee (Cisco)
|
Industrial Problems Seminar |
|
April 26, 2022 |
A Distributed Linear Solver via the Kaczmarz Algorithm
Eric Weber (Iowa State University)
|
Data Science Seminar |
|
April 19, 2022 |
A Characteristics-based Approach to Computing Tukey Depths
Martin Molina-Fructuoso (North Carolina State University)
|
Data Science Seminar |
|
April 12, 2022 |
How Well Can We Generalize Nonlinear Learning Models in High Dimensions??
Inbar Seroussi (Weizmann Institute of Science)
|
Data Science Seminar |
|
April 08, 2022 |
Data Science in Business vs. Academia
Philippe Barbe (Paramount)
|
Industrial Problems Seminar |
|
April 05, 2022 |
Method of Moments: From Sample Complexity to Efficient Implicit Computations
Joao Pereira (The University of Texas at Austin) |
Data Science Seminar |
|
April 01, 2022 |
Creating Value in PE Using Advanced Analytics
Erik Einset (Global Infrastructures Partners)
|
Industrial Problems Seminar |
|
March 29, 2022 |
Relaxing Gaussian Assumptions in High Dimensional Statistical Procedures
Larry Goldstein (University of Southern California)
|
Data Science Seminar |
|
March 25, 2022 |
Multi-Agent Autonomy and Beyond: A Mathematician’s Life at GDMS
Ben Strasser (General Dynamics Mission Systems)
|
Industrial Problems Seminar |
|
March 22, 2022 |
Using Artificial Intelligence to Model and Support the Management of Multimorbid Patients
Martin Michalowski (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
March 18, 2022 |
Musings from a Computer Vision Career
Evan Ribnick (Reveal Technology)
|
Industrial Problems Seminar |
|
March 15, 2022 |
Auto-differentiable Ensemble Kalman Filters
Daniel Sanz-Alonso (University of Chicago)
|
Data Science Seminar |
|
March 01, 2022 |
On Multiclass Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems
Nicolas Garcia Trillos (University of Wisconsin, Madison)
|
Data Science Seminar |
|
February 25, 2022 |
Data Science @ Meta
Zeinab Takbiri (Facebook) |
Industrial Problems Seminar |
|
February 22, 2022 |
Integrative Discriminant Analysis Methods for Multi-view Data
Sandra Safo (University of Minnesota, Twin Cities)
|
Data Science Seminar |
|
February 18, 2022 |
Towards a Better Evaluation of Football Players
Eric Eager (ProFootballFocus (PFF))
|
Industrial Problems Seminar |
|
February 15, 2022 |
Graph Clustering Dynamics: From Spectral to Mean Shift
Katy Craig (University of California, Santa Barbara)
|
Data Science Seminar |
|
February 11, 2022 |
Best Practices A Data Scientist Should Know
Hande Tuzel (Sabre Corporation)
|
Industrial Problems Seminar |
|
February 08, 2022 |
Decomposing Low-Rank Symmetric Tensors
Joe Kileel (The University of Texas at Austin) |
Data Science Seminar |
|
February 04, 2022 |
Data-Model Fusion to Predict the Impacts of Climate Change on Mosquito-borne Diseases
Carrie Manore (Los Alamos National Laboratory)
|
Industrial Problems Seminar |
|
February 01, 2022 |
Stability and Generalization in Graph Convolutional Neural Networks
Ron Levie (Ludwig-Maximilians-Universität München)
|
Data Science Seminar |
|
January 28, 2022 |
Pointers on AI/ML Career Success
Paritosh Desai (Google Inc.)
|
Industrial Problems Seminar |
|
January 25, 2022 |
Intelligent Randomized Algorithms for the Low CP-Rank Tensor Approximation Problem
Alex Gittens (Rensselaer Polytechnic Institute)
|
Data Science Seminar |
|
December 14, 2021 |
New Methods for Disease Prediction using Imaging and Genomics
Eran Halperin (UnitedHealth Group)
|
Data Science Seminar |
|
December 10, 2021 |
From Perception to Understanding: The Third Wave of AI
Tetiana Grinberg (Intel Corporation)
|
Industrial Problems Seminar |
|
December 03, 2021 |
Licensed to Analyze? An In-Depth Look at the Data Science Career: Defining Roles, Assessing Skills
Hamit Hamutcu (Initiative for Analytics and Data Science Standards (IADSS)) |
Industrial Problems Seminar |
|
November 23, 2021 |
The Scattering Transform for Texture Synthesis and Molecular Generation
Michael Perlmutter (University of California, Los Angeles) |
Data Science Seminar |
|
November 19, 2021 |
Certified Robustness against Adversarial Attacks in Image Classification
Fatemeh Sheikholeslami (Bosch Center for Artificial Intelligence)
|
Industrial Problems Seminar |
|
November 12, 2021 |
Lessons Learned in Deploying AI in Manufacturing
Eric Wespi (Boston Scientific)
|
Industrial Problems Seminar |
|
November 09, 2021 |
Non-Parametric Estimation of Manifolds from Noisy Data
Yariv Aizenbud (Yale University)
|
Data Science Seminar |
|
November 05, 2021 |
Data Science @ Instacart
Jeffrey Moulton (Instacart)
|
Industrial Problems Seminar |
|
October 29, 2021 |
Challenges in Building Intelligent Search Systems
Jiguang Shen (Microsoft Research)
|
Industrial Problems Seminar |
|
October 22, 2021 |
Predicting Tomorrow: Industrial Forecasting at Scale
Jimmy Broomfield (Target Corporation)
|
Industrial Problems Seminar |
|
October 19, 2021 |
Data depths meet Hamilton-Jacobi equations
Ryan Murray (North Carolina State University)
|
Data Science Seminar |
|
October 15, 2021 |
Data Scientists under attack!! Let's help them together
Sharath Dhamodaran (OptumLabs)
|
Industrial Problems Seminar |
|
October 12, 2021 |
Organizational Collaboration with Assisted Learning
Jie Ding (University of Minnesota, Twin Cities)
|
Data Science Seminar |
|
October 08, 2021 |
Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory
Juan Restrepo (Oregon State University)
|
Industrial Problems Seminar |
|
October 05, 2021 |
Scalable and Sample-Efficient Active Learning for Graph-Based Classification
Kevin Miller (University of California, Los Angeles)
|
Data Science Seminar |
|
October 01, 2021 |
Long-term Time Series Forecasting and Data Generated by Complex Systems
Kaisa Taipale (CH Robinson) |
Industrial Problems Seminar |
|
September 28, 2021 |
Standardizing the Spectra of Count Data Matrices by Diagonal Scaling
Boris Landa (Yale University)
|
Data Science Seminar |
|
September 21, 2021 |
Handling model uncertainties via informative Goodness-of-Fit
Sara Algeri (University of Minnesota, Twin Cities)
|
Data Science Seminar |
|
September 17, 2021 |
SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities) |
Industrial Problems Seminar |
|
September 14, 2021 |
PDE-inspired Methods for Graph-based Semi-supervised Learning
Jeff Calder (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
September 10, 2021 |
Being Smart and Dumb: Building the Sports Analytics Industry
Dean Oliver ( NBA's Washington Wizards)
|
Industrial Problems Seminar |
|
May 18, 2021 |
Measuring the Happiness, Health, & Stories of Society through the Sociotechnical Dynamics of Social Media and Fiction
Chris Danforth (University of Vermont) |
Data Science Seminar |
|
May 04, 2021 |
Order in Disorder: Modeling the Crumpling Dynamics of Thin Sheets
Jovana Andrejevic (Harvard University) |
Data Science Seminar |
|
April 27, 2021 |
Polynomial Time Guarantees for the Burer-Monteiro Method
Diego Cifuentes (Massachusetts Institute of Technology) |
Data Science Seminar |
|
April 23, 2021 |
Finding Effective Spreaders for Fast Communication in Small and Large Networks
Fern Hunt (National Institute of Standards and Technology) |
Industrial Problems Seminar |
|
April 20, 2021 |
Machine Learning Techniques for High-Dimensional Optimal Transport
Lars Ruthotto (Emory University) |
Data Science Seminar |
|
April 13, 2021 |
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Elizaveta Rebrova (University of California, Los Angeles) |
Data Science Seminar |
|
April 06, 2021 |
The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
Ido Kaminer (Technion-Israel Institute of Technology) |
Data Science Seminar |
|
March 30, 2021 |
Deep Networks and the Multiple Manifold Problem
John Wright (Columbia University) |
Data Science Seminar |
|
March 26, 2021 |
Law - Math = Injustice: A Story of Conflict
Eric Ben-Artzi (Gannuity) |
Industrial Problems Seminar |
|
March 23, 2021 |
Adapting the Metropolis Algorithm
Jeffrey Rosenthal (University of Toronto) |
Data Science Seminar |
|
March 19, 2021 |
The Engineering of Data Science & The Science of Data Engineering
Daniel Kaslovsky (Automox) |
Industrial Problems Seminar |
|
March 16, 2021 |
Consistent Sparse Deep Learning: Theory and Computation
Faming Liang (Purdue University) |
Data Science Seminar |
|
March 02, 2021 |
Coordinate Methods for Solving Eigenvalue Problems in High Dimensions
Jianfeng Lu (Duke University) |
Data Science Seminar |
|
February 26, 2021 |
Data Science at The New York Times
Chris Wiggins (Columbia University) |
Industrial Problems Seminar |
|
February 23, 2021 |
Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
Facundo Mémoli (The Ohio State University) |
Data Science Seminar |
|
February 19, 2021 |
Cyber Security: A New Front for Computational Science and Engineering
Ali Pinar (Sandia National Laboratories) |
Industrial Problems Seminar |
|
February 16, 2021 |
Learning the Manifold of Molecular Structures in Cryo-EM
Joakim Anden (Royal Institute of Technology (KTH)) |
Data Science Seminar |
|
February 12, 2021 |
Discovering Genetic Networks Using Compressive Sensing
Matthew Herman (Fourier Genetics) |
Industrial Problems Seminar |
|
February 09, 2021 |
Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University) |
Public Lecture Series |
|
February 09, 2021 |
Using Telco Data to Fight Epidemics
Kenth Monsen (Telenor Research) |
Data Science Seminar |
|
February 05, 2021 |
Manufacturing Pitfalls to Avoid in Commercialization
Angelique Johnson (MEMStim LLC) |
Industrial Problems Seminar |
|
February 02, 2021 |
Regression of Functions on Low-dimensional Manifolds by Neural Networks
Wenjing Liao (Georgia Institute of Technology) |
Data Science Seminar |
|
January 29, 2021 |
Contemporary Problems in Market Risk Modeling
Hany Farag (Canadian Imperial Bank of Commerce (CIBC)) |
Industrial Problems Seminar |
|
January 26, 2021 |
An Optimal Transport Perspective on Uncertainty Propagation
Amir Sagiv (Columbia University) |
Data Science Seminar |
|
January 22, 2021 |
The Rise of the Vector Database
Edo Liberty (Pinecone) |
Industrial Problems Seminar |
|
January 19, 2021 |
Quantum Compiler for Classical Dynamical Systems
Dimitris Giannakis (Courant Institute of Mathematical Sciences) |
Data Science Seminar |
|
January 12, 2021 |
What We Talk About When We Talk About Math
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 |
