Jesús María Sanz-Serna: Gauss's Gaussian quadrature
HYBRID EVENT Recorded during the meeting "1Numerical Methods and Scientific Computing" the November 9, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on
From playlist Numerical Analysis and Scientific Computing
Physics 37.1 Gauss's Law Understood (29 of 29) Pendulum in an Electric Field
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the period T=? of a pendulum of length=L with a charge=q of mass=m affected by an electric field=E. First video in this series can be seen at: https://youtu.be/2sCmuwTrgDU
From playlist PHYSICS 37.1 GAUSS'S LAW EXPLAINED
Carl Friedrich Gauss Prize 2018 David L. Donoho
The Gauss Prize is to honor scientists whose mathematical research has had an impact outside mathematics – either in technology, in business, or simply in people's everyday lives. The prize is awarded jointly by the Deutsche Mathematiker-Vereinigung (German Mathematical Union) and the Inte
From playlist IMU Awards
Gaussian Elimination: An algorithm for solving systems of linear equations
Gaussian Elimination is an algorithm for solving systems of linear equations with any number of unknowns. You don't have to be familiar with Linear Algebra to watch this video. This video is my entry for the Summer of Math Exposition 2 (#SoME2) by Grant Sanderson and James Schloss. -----
From playlist Summer of Math Exposition 2 videos
Gaussian geometry and topology for cosmology - Adler - Workshop 2 - CEB T3 2018
Robert Adler (Technion) / 23.10.2018 Gaussian geometry and topology for cosmology ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Twitter : https://twitter.com/I
From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology
Machine Learning Lecture 26 "Gaussian Processes" -Cornell CS4780 SP17
Cornell class CS4780. (Online version: https://tinyurl.com/eCornellML ) GPyTorch GP implementatio: https://gpytorch.ai/ Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote15.html Small corrections: Minute 14: it should be P(y,w|x,D) and not P(y|x,w,D) sorry
From playlist CORNELL CS4780 "Machine Learning for Intelligent Systems"
Ik Siong Heng - Gaussian Mixture Models for transient gravitational wave detection - IPAM at UCLA
Recorded 29 November 2021. Ik Siong Heng of the University of Glasgow prsents "Gaussian Mixture Models for transient gravitational wave detection" at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics. Abstract: The data from the gravitational wave detectors are non-stationary an
From playlist Workshop: Big Data in Multi-Messenger Astrophysics
MINI-LESSON 8: Power Laws (maximally simplified)
Power laws, extremely simplified.
From playlist MINI LECTURES IN PROBABILITY
Steven Ludtke - Contextual Conformational Variability in CryoEM and CryoET using Deep Learning
Recorded 14 November 2022. Steven Ludtke of Baylor College of Medicine presents "Contextual Conformational Variability in CryoEM and CryoET using Deep Learning" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: By studying molecules in solution, free to explore their entrop
From playlist 2022 Cryo-Electron Microscopy and Beyond
Some thoughts on Gaussian processes for emulation of deterministic computer models: Michael Stein
Uncertainty quantification (UQ) employs theoretical, numerical and computational tools to characterise uncertainty. It is increasingly becoming a relevant tool to gain a better understanding of physical systems and to make better decisions under uncertainty. Realistic physical systems are
From playlist Effective and efficient gaussian processes
“The Automatic Statistician”– Professor Zoubin Ghahramani
Talk given by Professor of Information Engineering at the University of Cambridge, leader of the Cambridge Machine Learning Group, and the Cambridge Liaison Director of the Alan Turing Institute; Zoubin Ghahramani. The lecture regards the use of Bayesian model selection strategies that aut
From playlist Turing Seminars
Finding structure in high dimensional data, methods and fundamental limitations - Boaz Nadler
Members' Seminar Topic: Finding structure in high dimensional data, methods and fundamental limitations Speaker: Boaz Nadler Affiliation: Weizmann Institute of Science; Member, School of Mathematics Date: October 14, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
[BOURBAKI 2017] 14/01/2017 - 2/4 - Franck BARTHE
L’inégalité de corrélation gaussienne, d’après Thomas Royen La conjecture de corrélation gaussienne prédit que pour toute mesure gaussienne centrée et tout couple d’ensembles convexes symétriques par rapport à l’origine, la mesure de l’intersection des ensembles est plus grande que le pro
From playlist BOURBAKI - 2017
Statistics / Data Analysis (Lecture 4) by B. Wandelt
Program Cosmology - The Next Decade ORGANIZERS : Rishi Khatri, Subha Majumdar and Aseem Paranjape DATE : 03 January 2019 to 25 January 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The great observational progress in cosmology has revealed some very intriguing puzzles, the most i
From playlist Cosmology - The Next Decade
