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

Statistical Topological Data Analysis - Part 1

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 2

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 3

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 4

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 5

De Wolfgang Polonik

Geometry of Shape Spaces of Curves and Surfaces - Part 1

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 2

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 3

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 4

De Eric Klassen

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 1

De Joseph Yukich

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 2

De Joseph Yukich

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 3

De Joseph Yukich

Asymptotic Analysis of Statistics of Random Geometric Structures - Part 4

De Joseph Yukich

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

De Nicolas Charon

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

De Nicolas Charon

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

De Nicolas Charon

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

De Nicolas Charon

Optimal Transport - Part 1

De Quentin Mérigot

Optimal Transport - Part 2

De Quentin Mérigot

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

De Ery Arias-Castro

Mathematical Aspects of Deep Learning - Part 1

De Mikhail Belkin

Mathematical Aspects of Deep Learning - Part 2

De Mikhail Belkin

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

De Yusu Wang

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

De Yusu Wang

Optimal Transport - Part 3

De Quentin Mérigot

Optimal Transport - Part 4

De Quentin Mérigot

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

De Ery Arias-Castro

Geometry of Shape Spaces of Curves and Surfaces - Part 5

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 6

De Eric Klassen

Statistical Topological Data Analysis - Part 6

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 7

De Wolfgang Polonik

Optimal Transport - Part 5

De Quentin Mérigot

Embedding for Data Analysis - Part 3

De Ery Arias-Castro

Geometry of Shape Spaces of Curves and Surfaces - Part 7

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 8

De Eric Klassen

Statistical Topological Data Analysis - Part 9

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 8

De Wolfgang Polonik

Optimal Transport - Part 6

De Quentin Mérigot

Optimal Transport - Part 7

De Quentin Mérigot

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

De Ery Arias-Castro

Geometry of Shape Spaces of Curves and Surfaces - Part 9

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 10

De Eric Klassen

Statistical Topological Data Analysis - Part 10

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 11

De Wolfgang Polonik

Optimal Transport - Part 8

De Quentin Mérigot

Optimal Transport - Part 9

De Quentin Mérigot

Embedding for Data Analysis - Part 5

De Eddie Aamari

Embedding for Data Analysis - Part 6

De Eddie Aamari

Geometry of Shape Spaces of Curves and Surfaces - Part 11

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 12

De Eric Klassen

Statistical Topological Data Analysis - Part 12

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 13

De Wolfgang Polonik

Topological Approaches to Neuroscience - Part 1

De Kathryn Hess

Topological Approaches to Neuroscience - Part 2

De Kathryn Hess

Topological Approaches to Neuroscience - Part 3

De Kathryn Hess

Topological Approaches to Neuroscience - Part 4

De Kathryn Hess

Optimal Transport - Part 10

De Quentin Mérigot

Optimal Transport - Part 11

De Quentin Mérigot

Embedding for Data Analysis - Part 7

De Eddie Aamari

Geometry of Shape Spaces of Curves and Surfaces - Part 13

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 14

De Eric Klassen

Statistical Topological Data Analysis - Part 14

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 15

De Wolfgang Polonik

Riemannian Geometry on Lie Groups - Part 1

De Stephen Preston

Riemannian Geometry on Lie Groups - Part 2

De Stephen Preston

Riemannian Geometry on Lie Groups - Part 3

De Stephen Preston

Riemannian Geometry on Lie Groups - Part 4

De Stephen Preston

Optimal Transport - Part 12

De Quentin Mérigot

Optimal Transport - Part 13

De Quentin Mérigot

Embedding for Data Analysis - Part 8

De Eddie Aamari

Embedding for Data Analysis - Part 9

De Eddie Aamari

Geometry of Shape Spaces of Curves and Surfaces - Part 15

De Eric Klassen

Geometry of Shape Spaces of Curves and Surfaces - Part 16

De Eric Klassen

Statistical Topological Data Analysis - Part 16

De Wolfgang Polonik

Statistical Topological Data Analysis - Part 17

De Wolfgang Polonik