Lecture 10 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate ...
Stanford
Ergodicity for the Randomly Forced Navier-Stokes System...
Ergodicity for the Randomly Forced Navier-Stokes System in a Two-Dimensional Unbounded Domain Speaker: Vahagn NERSESYAN (UVSQ, Versailles, ...
ICTP Mathematics
PyData Berlin June Live Stream
NumFOCUS Code of Conduct Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, ...
PyData
An introduction to quantum chaos - Stéphane Nonnemacher
Emerging Topics Working Group Topic: An introduction to quantum chaos Speaker: Stéphane Nonnemacher Affiliation: Université Paris-Sud Date: October 9, ...
Institute for Advanced Study
13.01 Nonlinear state-space models
Wherein nonlinear state-space models are introduced. Includes a discussion of autonomous and nonautonomous systems and equilibrium. This lecture was ...
Rico Picone
Marco Cirant: "Maximal regularity for stationary Hamilton-Jacobi equations"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop III: Mean Field Games and Applications "Maximal regularity for stationary Hamilton-Jacobi equations" ...
Institute for Pure & Applied Mathematics (IPAM)
Part1. Data assimilation using particle filters... - Crisan - Workshop 2 - CEB T3 2019
Crisan (Imperial College London, UK) / 13.11.2019 Data assimilation using particle filters for class of partially observed stochastic geophysical fluid dynamics ...
Institut Henri Poincaré
Distributed Randomized Algorithms for Convex and Non-Convex Optimization
Dr. Mert Pilanci, Ph.D. Assistant Professor Stanford University With the advent of massive data sets, machine learning and information processing techniques are ...
NC State ECE
Dr. Julijana Gjorgjieva - Dynamics of rate-based and spiking balanced random networks - CCCN 2017
Dr. Julijana Gjorgjieva from the Max Planck Institute for Brain Research, Germany, gave a talk on "Dynamics of rate-based and spiking balanced random ...
FENS
The Sparse Manifold Transform
Bruno Olshausen, UC Berkeley https://simons.berkeley.edu/talks/bruno-olshausen-4-18-18 Computational Theories of the Brain.
Simons Institute
Mod-12 Lec-26 Linear Quadratic Observer & An Overview of State Estimation
Optimal Control, Guidance and Estimation by Dr. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. For more details on NPTEL visit ...
nptelhrd
Toward a Sustainable Energy Future (Seminar)
Jones Seminar on Science, Technology, and Society. "Toward a Sustainable Energy Future: Integration of Renewable Resources, Consumers and Communities ...
Thayer School of Engineering at Dartmouth
Lars Ruthotto: "A Numerical Analysis Perspective on Deep Neural Networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "A ...
Institute for Pure & Applied Mathematics (IPAM)
GCI2016: Mini-course 1: Epidemiological Modeling - Lecture 1: Abba Gumel
Mini-course 1: Epidemiological Modeling Abba Gumel (Arizona State University) and Andrea Pugliese (Università di Trento) Lecture 1: Introduction to ...
African Institute for Mathematical Sciences (South Africa)
Bruce Turkington (DDMCS@Turing): Models that minimize the rate of information loss
Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical ...
The Alan Turing Institute
Joseph Lee Hart, Sandia National Laboratories
Speaker: Joseph Lee Hart, Sandia National Laboratories Title: Hyper-Differential Sensitivity Analysis: Managing High Dimensional Uncertainty in Large-Scale ...
NCSU Mathematics
Recent Developments in Over-parametrized Neural Networks, Part II
Jason Lee (University of Southern California) https://simons.berkeley.edu/talks/optimization-ii Deep Learning Boot Camp.
Simons Institute
9.520/6.860: Statistical Learning Theory and Applications - Class 25
MITCBMM
Catherine Sulem: Soliton Resolution for Derivative NLS equation
Abstract: We consider the Derivative Nonlinear Schrödinger equation for general initial conditions in weighted Sobolev spaces that can support bright solitons ...
Centre International de Rencontres Mathématiques
Overview on challenges and existing methods
By Daniel Straub and Eleni Chatzi http://www.cost-tu1402.eu/news-events/workshops/1st-workshop/working-group-3.
COST Action TU1402
ELSC Seminar: Ron Meir
A lecture given by: Ron Meir Department of Electrical Engineering, Technion On the topic of: "The neuron's response at extended timescales: memory, noise and ...
ELSC Video
Introduction to Vibration and Dynamics
Structural vibration is both fascinating and infuriating. Whether you're watching the wings of an aircraft or the blades of a wind turbine as they flex to absorb ...
nCode Software
Distinguished Lecture Series #52 - Professor Karim Abed-Meraim
Karim Abed-Meraim received the State Engineering degree from Ecole Polytechnique, Paris, France, in 1990, the State Engineering degree from École ...
Engineering UTM
Training D8: Modal And Signal Analysis (1 of 2)
Electric Grid Dynamics and Stability; sessions recorded at Bonneville Power Administration, February 18-20, 2020.
PowerWorldCorp
Moritz Diehl: "Convexity Exploiting Newton-Type Optimization for Learning and Control"
Intersections between Control, Learning and Optimization 2020 "Convexity Exploiting Newton-Type Optimization for Learning and Control" Moritz Diehl ...
Institute for Pure & Applied Mathematics (IPAM)
AFMS Webinar 2020 #5 - Professor Peter Jordan (Institut PPrime, CNRS-Université de Poitiers-ENSMA)
Australasian Fluid Mechanics Seminar Series "Linear Modelling of Turbulent Shear Flow" Professor Peter Jordan (Institut PPrime, CNRS-Université de ...
Australasian Fluid Mechanics Society Inc
Phase Noise 101: Exploring the Basics, Methods, and Measurements: Phil Lorch (KEYSIGHT)
Phil Lorch, an solutions business manager at KEYSIGHT, presents Phase Noise 101: Exploring the Basics, Methods, and Measurements, in aerospace and ...
TOTO SCIENCE HD
Market risk (QRM Chapter 9)
29th International Summer School of the Swiss Association of Actuaries (2016-08-17, Lausanne). For the corresponding course material, see ...
QRM Tutorial
[S15] Deriving the Drosophila gap gene system ab-initio from an optimization principle–T. Sokolowski
dr Thomas Sokolowski IST Austria Abstrakt: Early embryogenesis is driven by complex spatio-temporal patterns that specify distinct cell identities according to ...
Mark Kac Complex Systems Research Centre
Electrified Vehicle Energy Management: Solutions and Opportunities
Speaker/Performer: Scott Moura, Assistant Professor, UC Berkeley Sponsors: CITRIS (Ctr for Info Technology Research in the Interest of Society), I4Energy ...
CITRIS
Net-COVID Session4A: Math Models of Epidemic Spreading in the Time of COVID-19 by Ginestra Bianconi
Fourth lecture (seminar) of the Net-COVID online series: Understanding and Exploring Network Epidemiology in the Time of Coronavirus. Seminar by Ginestra ...
COMBINE Network Biology at UMD
Hydropower optimization
Water Resources Systems : Modeling Techniques and Analysis by Prof. P.P. Mujumdar, Department of Civil Engineering, IISc Bangalore. For more details on ...
nptelhrd
Kyoto University "Special Lecture on Random Dynamical Systems" Lecture 5
Top Global Course Special Lectures 2 "Special Lecture on Random Dynamical Systems" Lecture 5 Jeroen S.W. Lamb Kyoto University / Distinguished Visiting ...
Kyoto-U OCW
[midas NFX]Looking for Resonance: Numerical and experimental analysis of car door wind deflector
Participants of this webinar will get a great opportunity to learn more about work process and usage of midas NFX in conjunction with other engineering tools for ...
[ MIDAS ] Simulation of Success
SCHOLARS COLLOQUIUM ON PLASMA PHYSICS: DAY 7
On the seventhh day we have the oral presentations by our student participants. The event will be hosted by Dr. Swarniv Chandra. We have an invited lecture by ...
Physics Joint
CASA Distinguished Lecture with Battista Biggio (PRA Lab, University of Cagliari, Italy)
Wild Patterns: Ten Years after the Rise of Adversarial Machine Learning Abstract. Data-driven AI and machine-learning technologies have become pervasive, ...
CASA - Cluster of Excellence for Cyber Security
ITA 2016 - Jeff Dean Large-Scale Deep Learning for Building Intelligent Computer Systems
Four years ago we started the Google Brain project, a small effort to see if we could build training systems for large-scale deep neural networks and use these to ...
The Qualcomm Institute
Session 13 - Training Models - Polynomial Regression, Ridge Lasso and Elastic Net
This course is very much influenced and inspired by the book "Hands-On Machine Learning with Scikit–Learn and TensorFlow" by Aurelien Geron. We strongly ...
CloudxLab
Will Vanishing Gradients Ever Vanish from Deep Learning?
Moritz Hardt, UC Berkeley https://simons.berkeley.edu/talks/moritz-hardt-10-05-17 Fast Iterative Methods in Optimization.
Simons Institute
03 | Illuminating darkness with GWs | Prof. Vitor Cardoso
IIT Gandhinagar
October 8, 2018
Seminar on October 8, 2018 "Topics and Challenges in Utility Interactive Systems" by Jonathan Kimball from Missouri University of Science and Technology.
Uiuc Ceme
Eric Vanden-Eijnden: "Trainability and accuracy of artificial neural networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Trainability and accuracy of ...
Institute for Pure & Applied Mathematics (IPAM)
