Thierry Bodineau: Log-Sobolev inequality for the continuum sine-Gordon model (Sep 17, 2020)
We derive a multiscale generalisation of the Bakry-Emery criterion for a measure to satisfy a Log-Sobolev inequality. Our criterion relies on the Polchinski ...
Analyis, Quantum Fields, and Probability
Sochastic process models for precipitation processes... - Neelin - Workshop 1 - CEB T3 2019
Neelin (Department of Atmospheric and Oceanic Sciences, UCLA) / 09.10.2019 Stochastic process models for precipitation processes in dialogue with ...
Institut Henri Poincaré
Hidden Markov Models and Dynamical Systems
Speaker: Andrew Fraser Event: Second Symposium on Machine Learning and Dynamical Systems http://www.fields.utoronto.ca/activities/20-21/dynamical Title: ...
Fields Institute
NVIDIA AI Tech Workshop at NeurIPS Expo 2018 - Session 3: Inference and Quantization
This session from the NVIDIA AI Tech Workshop at NeurIPS Expo 2018 covers: - Quantized Inference - NVIDIA TensorRT™ 5 and TensorFlow Integration ...
NVIDIA Developer
Hao Shen: Stochastic Ricci flow on surfaces
The lecture was held within the of the Hausdorff Junior Trimester Program: Randomness, PDEs and Nonlinear Fluctuations. Abstract: We introduce the ...
Hausdorff Center for Mathematics
Special Conference - Stochastic Variational Inequalities in a Dynamical Framework
Special Conference - Stochastic Variational Inequalities in a Dynamical Framework R. Tyrrell Rockafellar - University of Washington and University of Florida, ...
Instituto de Matemática Pura e Aplicada
Approximate planning and learning in partially observed systems
Aditya Mahajan Associate Professor Electrical and Computer Engineering, McGill University Abstract: Reinforcement learning (RL) provides a conceptual ...
Communications and Signal Processing Seminar Series
Workshop on Contemporary Mathematics - Quantization of contact manifolds
Aproveitando a reunião do Comitê Executivo do International Mathematical Union, será realizada a reunião científica “Workshop on Contemporary ...
Instituto de Matemática Pura e Aplicada
Magnetic Tunnel Junction (MTJ) as Stochastic Neurons and Synapses
Full Title: Magnetic Tunnel Junction (MTJ) as Stochastic Neurons and Synapses: Stochastic Binary Neural Networks, Bayesian Inferencing, Optimization ...
nanohubtechtalks
Michael Catanzaro (2/7/17): Stochastic Dynamics on CW Complexes
Applied Algebraic Topology Network
POD and Soliton Dynamics
WEBSITE: databookuw.com This lecture gives a simple demonstration of a reduced order model constructed from a POD basis. A Galerkin-POD expansion is ...
Nathan Kutz
Unbounded Memory Advantage in Stochastic Simulation by Dr. Andrew Garner
This talk is organized as an official event of the Workshop on Frontiers of Quantum and Complexity Science, and supported by the John Templeton Foundation ...
Centre for Quantum Technologies
JDG 2017: Si Li: Vertex algebras, quantum master equation and mirror symmetry
This talk of Si Li was delivered on Sunday, April 30, 2017.
Harvard Math
Courses - A. Kupiainen “Quantum Field Theory for Probabilists”
The course consists of two parts. In the first one we give an introduction to the Renormalization Group as a method to study quantum field theory and statistical ...
Institut Henri Poincaré
Dr. Tatjana Tchumatchenko - Theory of Network Dynamics - CCCN 2017
Dr. Tatjana Tchumatchenko from the Max Planck Institute for Brain Research, Germany, gave a talk on "Theory of Network Dynamics" at the Cajal Course in ...
FENS
Gradient flow structures and functional inequalities for quantum evolution equations...
Gradient flow structures and functional inequalities for quantum evolution equations with detailed balance Speaker: Maas, J. (Institute of Science and ...
ICTP Mathematics
Wuchen Li: "Accelerated Information Gradient Flow"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "Accelerated Information Gradient Flow" ...
Institute for Pure & Applied Mathematics (IPAM)
Machine Learning: Dynamical, Statistical, and Economic Perspectives
Much of the recent focus in machine learning has been on the pattern-recognition side of the field. I will focus instead on the decision-making side, where many ...
Society for Industrial and Applied Mathematics
The Information Bottleneck Theory of Deep Neural Networks...
Naftali Tishby, Hebrew University of Jerusalem https://simons.berkeley.edu/talks/naftali-tishby-3-21-18 Targeted Discovery in Brain Data.
Simons Institute
Thermalization in Hydrodynamical Systems by M.E. Brachet
Program Turbulence: Problems at the Interface of Mathematics and Physics (ONLINE) ORGANIZERS: Uriel Frisch (Observatoire de la Côte d'Azur and CNRS, ...
International Centre for Theoretical Sciences
Self-avoiding walk in dimension 4 - Roland Bauerschmidt
Self-avoiding walk in dimension 4 - Roland Bauerschmidt Roland Bauerschmidt University of British Columbia; Member, School of Mathematics January 28, ...
Institute for Advanced Study
Hamilton Day 2018 Lecture
The 2018 annual RIA Hamilton Lecture given by Professor Martin Hairer (Imperial College London). Prof Hairer spoke about some of the mathematical objects ...
The Royal Irish Academy
Xavier Warin: Branching for PDEs
Abstract: Branching methods have recently been developed to solve some PDEs. Starting from Mckean formulation, we give the initial branching method to solve ...
Centre International de Rencontres Mathématiques
State of play with Stochastic electrodynamics -Al F. Kracklauer July 2016
On verification by simulation of the (extended) Stochastic Electrodynamics (SED) interpretation of Quantum mechanics.
Roger Anderton
Daniel Friedan - Where does quantum field theory come from?
Daniel Friedan (Rutgers Univ.) Where does quantum field theory come from? This will be an interim report on a long-running project to construct a mechanism ...
Institut des Hautes Études Scientifiques (IHÉS)
Lecture 30: Introduction to Quantum Field Theory
IIT Roorkee July 2018
Seminar 11: Stochastic gradient methods
This is the 11th seminar in the weekly seminars of machine learning reading group at KTH (MLRG-KTH). This presentation covers fundamentals of stochastic ...
MLRG KTH
Workshop on Contemporary Mathematics - Quasi-regular dirichet forms and stochastic analysis on...
Aproveitando a reunião do Comitê Executivo do International Mathematical Union, será realizada a reunião científica “Workshop on Contemporary ...
Instituto de Matemática Pura e Aplicada
Computing Lyapunov functions via neural networks avoiding the curse of dimensionality
Speaker: Lars Gruene Event: Second Symposium on Machine Learning and Dynamical Systems http://www.fields.utoronto.ca/activities/20-21/dynamical Title: ...
Fields Institute
2019 Wagner Prize Finalist: London Heathrow Airport Uses Real-Time Analytics
Given by Xiaojia Guo and Bert De Reyck, University College London and Yael Grushka-Cockayne of Harvard Business School at the 2019 INFORMS Annual ...
INFORMS
The problem of dynamics in quantum theory - Juerg Frohlich
JuergFrohlich November 4, 2013 For more videos, check out http://www.video.ias.edu.
Institute for Advanced Study
Quantum Techniques for Stochastic Mechanics - Part 2 of 4
Jacob D. Biamonte of the Institute for Scientific Interchange in Torino, gave a talk titled "Quantum Techniques for Stochastic Mechanics" at the Institute for ...
Institute for Quantum Computing
AI Research Weekly Update September 15th, 2019
Thanks for watching the fifth episode of AI Research Weekly Update! Please comment what you liked and disliked about this report and how it can be improved!
Henry AI Labs
Wayne Myrvold: Collapse Theories for Relativistic QFT: Problems and Prospects
Relativistic quantum field theory confronts us with interesting conceptual issues that are alien to nonrelativistic quantum mechanics. This should not blind us to ...
Rotman Institute of Philosophy
Anshumali Shrivastava -- Statistical Estimations from Locality Sensitive Hashing
Anshumali Shrivastava presents a talk entitled "Statistical Estimations from Locality Sensitive Hashing (LSH): Adaptive Sampling at the Cost of Random ...
DIMACS CCICADA
Results on the heavy-dense QCD phase diagram using complex Langevin
Felipe Attanasio (Swansea University)
Talks at XQCD 2016
Information-Performance Tradeoffs in Control
Consider a flying drone controlled from the ground by an observer who communicates with it via wireless. We are interested in how well the drone can be ...
Microsoft Research
Gilles Pagès: Optimal vector Quantization: from signal processing to clustering and ...
Abstract: Optimal vector quantization has been originally introduced in Signal processing as a discretization method of random signals, leading to an optimal ...
Centre International de Rencontres Mathématiques
SoFiE Seminar with Nicola Fusari and Elise Gourier - January 25 2021
SoFiE Seminar Series Presenter: Nicola Fusari (Johns Hopkins University) Paper: "Structural Stochastic Volatility" Discussant: Elise Gourier (ESSEC Business ...
Society for Financial Econometrics
Yacine Ali-Hamoud - Insights into searches for nanohertz gravitational-wave backg... (Nov 20, 2020)
Within the next several years pulsar timing arrays (PTAs) are positioned to detect the stochastic gravitational-wave background (GWB) likely produced by the ...
Simons Foundation
Workshop on Instantons and Extreme Events in Turbulence and Dynamical Systems - THIERRY DOMBRE
Workshop on Instantons and Extreme Events in Turbulence and Dynamical Systems THIERRY DOMBRE Instantons, zero modes and fluctuations in the ...
Instituto de Matemática Pura e Aplicada
Resampling with neural networks for data-driven stochastic parameterization
Speaker: Daan Crommelin Event: Second Symposium on Machine Learning and Dynamical Systems http://www.fields.utoronto.ca/activities/20-21/dynamical ...
Fields Institute
