Presentation of the T3 2022 : "Geometry and statistics in data sciences"

Statistical Topological Data Analysis - Part 1

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 2

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 3

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 4

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 5

By Wolfgang Polonik

Geometry of Shape Spaces of Curves and Surfaces - Part 1

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 2

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 3

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 4

By Eric Klassen

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 1

By Joseph Yukich

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 2

By Joseph Yukich

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 3

By Joseph Yukich

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 4

By Joseph Yukich

A Few Applications of Geometric Measure Theory to Shape Analysis - Part 1

By Nicolas Charon

A Few Applications of Geometric Measure Theory to Shape Analysis - Part 2

By Nicolas Charon

A Few Applications of Geometric Measure Theory to Shape Analysis - Part 3

By Nicolas Charon

A Few Applications of Geometric Measure Theory to Shape Analysis - Part 4

By Nicolas Charon

Optimal Transport - Part 1

By Quentin Mérigot

Optimal Transport - Part 2

By Quentin Mérigot

Embedding for Data Analysis : Multidimensional Scaling and Manifold Learning - Part 1

By Ery Arias-Castro

Mathematical Aspects of Deep Learning - Part 1

By Mikhail Belkin

Mathematical Aspects of Deep Learning - Part 2

By Mikhail Belkin

Some Theoretical Aspects of Graph Neural Networks (and Higher Order Variants) - Part 1

By Yusu Wang

Some Theoretical Aspects of Graph Neural Networks (and Higher Order Variants) - Part 2

By Yusu Wang

Optimal Transport - Part 3

By Quentin Mérigot

Optimal Transport - Part 4

By Quentin Mérigot

Embedding for Data Analysis: Multidimensional Scaling and Manifold Learning - Part 2

By Ery Arias-Castro

Geometry of Shape Spaces of Curves and Surfaces - Part 5

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 6

By Eric Klassen

Statistical Topological Data Analysis - Part 6

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 7

By Wolfgang Polonik

Optimal Transport - Part 5

By Quentin Mérigot

Embedding for Data Analysis - Part 3

By Ery Arias-Castro

Geometry of Shape Spaces of Curves and Surfaces - Part 7

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 8

By Eric Klassen

Statistical Topological Data Analysis - Part 9

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 8

By Wolfgang Polonik

Optimal Transport - Part 6

By Quentin Mérigot

Optimal Transport - Part 7

By Quentin Mérigot

Embedding for Data Analysis: Multidimensional Scaling and Manifold Learning - Part 4

By Ery Arias-Castro

Geometry of Shape Spaces of Curves and Surfaces - Part 9

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 10

By Eric Klassen

Statistical Topological Data Analysis - Part 10

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 11

By Wolfgang Polonik

Optimal Transport - Part 8

By Quentin Mérigot

Optimal Transport - Part 9

By Quentin Mérigot

Embedding for Data Analysis - Part 5

By Eddie Aamari

Embedding for Data Analysis - Part 6

By Eddie Aamari

Geometry of Shape Spaces of Curves and Surfaces - Part 11

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 12

By Eric Klassen

Statistical Topological Data Analysis - Part 12

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 13

By Wolfgang Polonik

Topological Approaches to Neuroscience - Part 1

By Kathryn Hess

Topological Approaches to Neuroscience - Part 2

By Kathryn Hess

Topological Approaches to Neuroscience - Part 3

By Kathryn Hess

Topological Approaches to Neuroscience - Part 4

By Kathryn Hess

Optimal Transport - Part 10

By Quentin Mérigot

Optimal Transport - Part 11

By Quentin Mérigot

Embedding for Data Analysis - Part 7

By Eddie Aamari

Geometry of Shape Spaces of Curves and Surfaces - Part 13

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 14

By Eric Klassen

Statistical Topological Data Analysis - Part 14

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 15

By Wolfgang Polonik

Riemannian Geometry on Lie Groups - Part 1

By Stephen Preston

Riemannian Geometry on Lie Groups - Part 2

By Stephen Preston

Riemannian Geometry on Lie Groups - Part 3

By Stephen Preston

Riemannian Geometry on Lie Groups - Part 4

By Stephen Preston

Optimal Transport - Part 12

By Quentin Mérigot

Optimal Transport - Part 13

By Quentin Mérigot

Embedding for Data Analysis - Part 8

By Eddie Aamari

Embedding for Data Analysis - Part 9

By Eddie Aamari

Geometry of Shape Spaces of Curves and Surfaces - Part 15

By Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 16

By Eric Klassen

Statistical Topological Data Analysis - Part 16

By Wolfgang Polonik

Statistical Topological Data Analysis - Part 17

By Wolfgang Polonik