PiTP 2015 - "Introduction to Topological and Conformal Field Theory (1 of 2)" - Robbert Dijkgraaf
https://pitp2015.ias.edu/
Institute for Advanced Study
Complexity: Designing Complex Systems for the 21st Century
Keynote by Wei Chen The design of complex "engineered" systems in the 21st century poses a set of common challenges, to name a few, the complexity and ...
DTUdk
Weinan E: "Machine learning based multi-scale modeling"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Machine learning based multi-scale ...
Institute for Pure & Applied Mathematics (IPAM)
Symposium 1 - How Can Dynamical Systems Neuroscience Reciprocally Advance Machine Learning?
Presented By: Grace M. Hwang Webinar: Symposium 1 - How Can Dynamical Systems Neuroscience Reciprocally Advance Machine Learning? Webinar ...
LabRoots
Travels Through Wormholes: A Conversation With Juan Maldacena
Juan Maldacena is a theoretical physicist at the Institute for Advanced Study, Princeton, and one of the most highly regarded string theorists of our time. Of the ...
The Wire
Reinventing the geometry pipeline: Mesh Shaders in DirectX 12 | Game Stack Live
The trusty vertex shader has served us well over the last 20 years, but the time has come to take the next step in technological innovation. Mesh shaders apply ...
Microsoft Game Stack
Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)
Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: https://stanford.io/3bhmLce Andrew Ng ...
stanfordonline
Joe Polchinski Memorial Lecture: A Brief History of Branes
Paul Townsend (University of Cambridge, Department of Applied Mathematics and Theoretical Physics, UK) Polchinski was a professor at the Kavli Institute for ...
Int'l Centre for Theoretical Physics
Quantum-probabilistic Generative Models and Variational Quantum Thermalization - Guillaume Verdon
Speaker: Guillaume Verdon Host: Zlatko Minev, Ph.D. Title: Quantum-probabilistic Generative Models and Variational Quantum Thermalization Algorithms ...
Qiskit
Advanced Engineering Mathematics with Maple
The post-calculus mathematical concepts and skills needed by the scientist or engineer are often learned piecemeal in a variety of courses scattered throughout ...
Maplesoft
1+1=3 or How I Learned to Stop Worrying and Love Holistic Circuits - A. Hajimiri - 1/29/2014
"1+1=3 or How I Learned to Stop Worrying and Love Holistic Circuits" - Ali Hajimiri, Thomas G. Myers Professor of Electrical Engineering and Medical ...
caltech
Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Surya ...
MIT OpenCourseWare
The Mathematics of Networks
John Baez, UC Riverside https://simons.berkeley.edu/talks/john-baez-12-06-2016 Compositionality.
Simons Institute
Tail Risk Measurement Heuristics by Nassim Nicholas Taleb - One Bank Flagship Seminar
Date Recorded: Thursday 18 February 2016 Time: 4.15-6pm Venue: Moorgate Auditorium, 20 Moorgate, London Speaker: Professor Nassim Nicholas Taleb ...
Bank of England
Konstantin Khanin: Between mathematics and physics
Abstract: Over the past few decades we have witnessed an unparalleled process of unification between mathematics and physics. In this talk we shall discuss ...
The Abel Prize
Lecture 12 - Regularization
Regularization - Putting the brakes on fitting the noise. Hard and soft constraints. Augmented error and weight decay. Lecture 12 of 18 of Caltech's Machine ...
caltech
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
Environmental / Spatial Statistics: Climate Change
(1662) Statistics for Heatwaves and Extreme Waves in a Changing Climate Jonathan Tawn - Lancaster University, United Kingdom (1616) Bayesian Additive ...
RoyalStatSoc
Stanford Seminar - NVIDIA GPU Computing: A Journey from PC Gaming to Deep Learning
EE380: Computer Systems Colloquium Seminar NVIDIA GPU Computing: A Journey from PC Gaming to Deep Learning Speaker: Stuart Oberman, NVIDIA Deep ...
stanfordonline
A Blueprint of Standardized and Composable Machine Learning - Eric Xing
Seminar on Theoretical Machine Learning Topic: A Blueprint of Standardized and Composable Machine Learning Speaker: Eric Xing Affiliation: Carnegie ...
Institute for Advanced Study
Mod-01 Lec-01 Discrete probability distributions (Part 1)
Physical Applications of Stochastic Processes by Prof. V. Balakrishnan,Department of Physics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
The many facets of the rough high-dimensional landscape problem ▸ Blackboard Talk by Giulio Biroli
KITP #BlackboardThrowback — Presented and recorded on Jan 28, 2019 Learn more at: https://www.kitp.ucsb.edu Follow @KITP_UCSB for updates on Twitter: ...
Kavli Institute for Theoretical Physics
Amazon SageMaker’s Built-in Algorithm Webinar Series: DeepAR Forecasting
In this webinar, Kris Skrinak, AWS Partner Solution Architect, will deep dive into time series forecasting with deep neural networks using Amazon SageMaker ...
Amazon Web Services
Learn Data Science Tutorial - Full Course for Beginners
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important ...
freeCodeCamp.org
Can learning theory resist deep learning? Francis Bach, INRIA
Machine learning algorithms are ubiquitous in most scientific, industrial and personal domains, with many successful applications. As a scientific field, machine ...
The Alan Turing Institute
Peter Sarnak: Applications of Points on Subvarieties of Tori
This is the first Ahlfors lecture talk of Peter Sarnak given on October 31, 2019 at Harvard University.
Harvard Math
Gerald V. Dunne - Resurgence and Phase Transitions
Institut des Hautes Études Scientifiques (IHÉS)
The Tensor Algebra Compiler
Linear algebra is a work-horse of numerical computing. Tensor algebra is a generalization of linear algebra with applications in scientific computing, machine ...
Microsoft Research
4. Counting
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis ...
MIT OpenCourseWare
Interval arithmetic: Fundamentals, Successes and Pitfalls
Interval arithmetic: Fundamentals, Successes and Pitfalls. Ralph Baker Kearfott Professor Applied Mathematics, University of Louisiana, Lafayette, Louisiana ...
Canal En VIVO - Universidad EAFIT
Net-COVID Session1A: Network Epidemiology Tutorial by Laurent Hebert-Dufresne
First tutorial of the Net-COVID online series: Understanding and Exploring Network Epidemiology in the Time of Coronavirus. Lecture by Laurent Laurent ...
COMBINE Network Biology at UMD
Connections between physics and deep learning
Max Tegmark - MIT.
MITCBMM
Training a Logistic Regression Classification Model with Matlab – Machine Learning for Engineers
This video is part of the "Artificial Intelligence and Machine Learning for Engineers" course offered at the University of California, Los Angeles (UCLA).
PARISlab@UCLA
Approximation Theory Part 1
Lecture with Ole Christensen. Kapitler: 00:00 - Intro To Approximation Theory; 10:00 - Remarks On Vectorspaces In Mat4; 13:30 - Def.: Dense Subset; 19:15 ...
DTUdk
Nikita NEKRASOV - 1/3 Instantons
Institut des Hautes Études Scientifiques (IHÉS)
Complexity as seen through modern statistical mechanics: News
Constantino Tsallis, Centro Brasileiro de Pesquisas Fisicas; SFI Complexity of natural, artificial and social systems can be studied from many perspectives.
Santa Fe Institute
Wave Dark Matter - Lam Hui
Institute for Advanced Study Astrophysics Seminar Topic: Wave Dark Matter Speaker: Lam Hui Affiliation: Columbia University Date: November 5, 2020 For more ...
Institute for Advanced Study
Physics of the Cosmic Microwave Background - 1 of 5
IV Joint ICTP-Trieste/ICTP-SAIFR School on Cosmology: Challenges for the Standard Cosmological Model - January 18-29, 2021 Speaker: Yacine Ali-Haïmoud ...
ICTP-SAIFR
Latent State Recovery in Reinforcement Learning - John Langford
Seminar on Theoretical Machine Learning Topic: Latent State Recovery in Reinforcement Learning Speaker: John Langford Affiliation: Microsoft Research Date: ...
Institute for Advanced Study
Eva Silverstein & Roger Blandford - “The Physics and Astrophysics of Black Holes and Horizons”
Stanford University APPLIED PHYSICS/PHYSICS COLLOQUIUM Tuesday, November 12, 2019 4:30 p.m. on campus in Hewlett Teaching Center, Rm. 200 Eva ...
Stanford Physics
Detecting Financial Fraud at Scale with Machine Learning - Elena Boiarskaia (H2O ai)
Detecting fraudulent patterns at scale is a challenge given the massive amounts of data to sift through, the complexity of the constantly evolving techniques, and ...
Databricks
WHAT IS LIFE? An ICE Public Dialogue with Carol Cleland and Robert Hazen
What is life?” Surprisingly, there is no accepted definition. Life is one of those things that is easier to identify than to define. On Earth, living creatures have been ...
ICE at Dartmouth