Rik Versendaal - Brownian motion in Riemannian manifolds

preview_player
Показать описание
Talk at the UGC Seminar on 12th January 2021.

  1. Utrecht Geometry Centre
  2. mathematics
  3. stochastics
  4. differential geometry
  5. riemannian geometry
Рекомендации по теме
Rik Versendaal - 0:54:42

Rik Versendaal - Brownian motion in Riemannian manifolds

Brownian motion over 0:45:52

Brownian motion over manifolds. (18/07/2023)

On Wave Equations 0:18:34

On Wave Equations and Brownian Motion - Bjoern Bringmann

Brownian Motion with 0:15:24

Brownian Motion with Asymptotically Normal Reflection: from Transience to Stability

Brownian motion on 0:30:20

Brownian motion on a Riemannian Manifold

stochastic differential geometry 0:05:09

stochastic differential geometry and stochastic general relativity.

Stochastic mean curvature 0:39:42

Stochastic mean curvature flow and intertwined Brownian motion

58.3 The Reflection 0:17:48

58.3 The Reflection Principle

Levy processes on 0:12:45

Levy processes on manifolds with a connection

Giuseppe Mussardo - 1:18:04

Giuseppe Mussardo - Generalised Riemann Hypothesis and Brownian motion

Lecture 18 (Part 0:30:27

Lecture 18 (Part 4): Infinitesimal generator of n-dimensional Ito Process

Conformally Invariant Fields 0:57:40

Conformally Invariant Fields out of Brownian Loop Soups - Wei Qian

Georgios Arvanitidis: Riemannian 0:24:34

Georgios Arvanitidis: Riemannian manifolds learned from data

Diffusion Means and 0:17:48

Diffusion Means and Heat Kernel on Manifolds

Learning Weighted Submanifolds 0:01:01

Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders

'Rough Center Manifolds', 0:41:58

'Rough Center Manifolds', Christian Kuehn, 08.11.2021, Stochastics Seminar @ University of...

Elisabeth Gassiat - 0:43:19

Elisabeth Gassiat - Manifold Learning with Noisy Data

Ernst Kuwert: L² 0:56:38

Ernst Kuwert: L² curvature for surfaces in Riemannian manifolds

What is General 1:02:56

What is General Relativity? Lesson 67: Pullback example and introduction to metric equivalence.

Regularizing neural networks 0:42:16

Regularizing neural networks using constrained thermodynamic algorithms, Ben Leimkuhler

Stephan Mescher - 1:08:49

Stephan Mescher - Topological complexity: Introduction and perspectives I

Lecture 20 : 1:31:07

Lecture 20 : Variational Auto Encoders : EM and Variational Bounds

Generalities about abelian 0:50:35

Generalities about abelian varieties – part1

Fabian Ziltener - 0:46:43

Fabian Ziltener - Generating sets for symplectic capacities