Campuses:

Talks

Datesort descending Title / Speaker Event
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 Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization
Yifei Lou (University of Texas at Dallas)
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 16, 2020 Bias-Variance Tradeoffs in Joint Spectral Embeddings
Daniel Sussman (Boston University)
Theory and Algorithms in Graph-based Learning
September 16, 2020 Computational Complexity and Forbidden Graph Patterns
Michaela Rombach (University of Vermont)
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 17, 2020 Vertex Nomination, Consistent Estimation, and Adversarial Modification
Vince Lyzinski (University of Maryland)
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 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 18, 2020 Learning Restricted Boltzmann Machines
Ankur Moitra (Massachusetts Institute of Technology)
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 Ill-Conditioned Gaussian Graphical Models
Raghu Meka (University of California, Los Angeles)
Theory and Algorithms in Graph-based Learning
September 18, 2020 SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities)
Industrial Problems Seminar
September 22, 2020 Matrix Denoising with Weighted Loss
William Leeb (University of Minnesota, Twin Cities)
Data Science Seminar
September 25, 2020 The Technical and Organizational Challenges of Data Science
Catherine (Katy) Micek (3M)
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
October 02, 2020 Lecture
Cynthia Phillips (Sandia National Laboratories)
Industrial Problems Seminar
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 13, 2020 Lecture
Tyler Maunu (Massachusetts Institute of Technology)
Data Science Seminar
October 16, 2020 Systems Modeling in Biopharma
Helen Moore (Applied BioMath)
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 23, 2020 Lecture
Chris Finlay (Deep Render)
Industrial Problems Seminar
October 27, 2020 Lecture
Anna Little (The University of Utah)
Data Science Seminar
November 03, 2020 Lecture
Levon Nurbekyan (University of California, Los Angeles)
Data Science Seminar
November 10, 2020 Lecture
Naoki Saito (University of California, Davis)
Data Science Seminar
November 17, 2020 Lecture
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
November 24, 2020 Lecture
Gal Mishne (University of California, San Diego)
Data Science Seminar
December 01, 2020 Lecture
Xiuyuan Cheng (Duke University)
Data Science Seminar
December 04, 2020 Lecture
Julie Thompson (Boston Scientific)
Industrial Problems Seminar
December 08, 2020 Lecture
Matthew Hirn (Michigan State University)
Data Science Seminar
December 15, 2020 Lecture
Barak Sofer (Duke University)
Data Science Seminar

Pages