MDS22 Minitutorials | SIAM
 

Minitutorials


Hybrid: SIAM Conference on Mathematics of Data Science (MDS22)

Minitutorials


Optimization for Data Analysis

Stephen Wright, University of Wisconsin-Madison, U.S.

Broader Engagement (BE): Introduction to Graph Neural Networks

Alina Lazar, Youngstown State University, U.S.
Xiangyang Ju, Lawrence Berkeley National Laboratory, U.S.

Broader Engagement (BE): Julia for Python Programmers

Johannes P. Blaschke, Lawrence Berkeley National Laboratory, U.S.

Broader Engagement (BE): Data Science with Julia

Johannes P. Blaschke, Lawrence Berkeley National Laboratory, U.S.

Geometric Deep Learning

Michael Bronstein, University of Oxford, United Kingdom
Petar Veličković, DeepMind Technologies, United Kingdom

Inverse Problems: Integrating Data with PDE-based Models Under Uncertainty

Noemi Petra, University of California, Merced, U.S.
Tucker Hartland, University of California, Merced, U.S.

Computational Optimal Transport

Marco Cuturi, Apple, Inc., U.S.

Tensor Decompositions: A Quick Tour of Illustrative Applications

Tamara Kolda, MathSci.ai, U.S.