Tensor Methods and Emerging Applications to the Physical and Data Sciences Tutorials

March 9 - 19, 2021

Schedule

All times in this Schedule are Pacific Time (PT)

Tuesday, March 9, 2021

8:00 - 9:15
9:45 - 11:00
Anna Seigal (University of Oxford)

From Linear Algebra to Multi-Linear Algebra
PDF Presentation

 

Wednesday, March 10, 2021

8:00 - 9:15
9:45 - 11:00

Thursday, March 11, 2021

8:00 - 9:15
Lek-Heng Lim (University of Chicago)

What is a tensor? Part 1
PDF Presentation

 
9:45 - 11:00
M. Alex O. Vasilescu (University of California, Los Angeles (UCLA))

Forward and Inverse Causal Inference with Multilinear (Tensor) Factor Analysis


Friday, March 12, 2021

8:00 - 9:15
Joseph Landsberg (Clay Scholar) (Texas A&M University - College Station)

Introduction to the Geometry of Tensors Part 1
PDF Presentation

 
9:45 - 11:00

Monday, March 15, 2021

8:00 - 9:15
9:45 - 11:00
Frank Verstraete (Ghent University)

Mathematical Aspects of Tensor Networks Part 1

 

Tuesday, March 16, 2021

8:00 - 9:15
Ankur Moitra (Massachusetts Institute of Technology)

Tensor Decompositions and their Applications Part 1

 
9:45 - 11:00

Wednesday, March 17, 2021

8:00 - 9:15
Lek-Heng Lim (University of Chicago)

What is a tensor? Part 2
PDF Presentation

 
9:45 - 11:00
Anna Seigal (University of Oxford)

Tensors in Statistics and Data Analysis
PDF Presentation

 

Thursday, March 18, 2021

8:00 - 9:15
9:45 - 11:00
Joseph Landsberg (Clay Scholar) (Texas A&M University - College Station)

Introduction to the Geometry of Tensors Part 2
PDF Presentation

 

Friday, March 19, 2021

8:00 - 9:15
Frank Verstraete (Ghent University)

Mathematical Aspects of Tensor Networks Part 2

 
9:45 - 11:00
Ankur Moitra (Massachusetts Institute of Technology)

Tensor Decompositions and their Applications Part 2