Mueller3
Postgraduate school held at the Galileo Galilei Institute of Theoretical Physics, Arcetri, Florence, February 5-16 , 2018. Organized by Pasquale Calabrese, ...
SFT - Lectures on Statistical Field Theories
Chao Xia - Recent progress on a sharp lower bound for Steklov eigenvalue
Talk by Chao Xia (Professor @ Xiamen University, China) given on Monday, 11 May 2020 in the "Asia-Pacific Analysis and PDE Seminar". Chair: Ben Andrews ...
Asia-Pacific Analysis and PDE Seminar
Kernel Methods, part 1 - Arthur Gretton - MLSS 2020, Tübingen
Table of Contents (powered by https://videoken.com) 0:00:00 Introduction 0:02:10 Representing and comparing probabilities with kernels: Part 1 0:02:56 A ...
virtual mlss2020
Deep Learning Chapter 10 Sequence Modeling: Recurrent and Recursive Nets presented by Ian Goodfellow
This is a Deep Learning Book Club discussion of Chapter 10: Sequence Modeling: Recurrent and Recursive Nets. Chapter is presented by author Ian ...
Alena Kruchkova
Michael Mahoney: "Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Why Deep Learning Works: Implicit ...
Institute for Pure & Applied Mathematics (IPAM)
Summer school 2018 / James LeBlanc / Part 3. The Hubbard model and its extensions
In the third lecture, an idea of reducing a complex physical model to a simpler one is discussed with an emphasis on the Hubbard model. By discussing the ...
Basis Foundation Summer School
Lecture: Eigen-decompositions and Iterations
We develop a theoretical approach to understanding how eigen-decompositions of matrices can be used in iterative schemes for Ax=b.
AMATH 301
The Quasi Particle concept and the GW method
The Quasi Particle concept and the GW method Speaker: Andrea Ferretti (CNR-NANO, Italy) 2020_01_28-09_00-smr3421.
ICTP Condensed Matter and Statistical Physics
Fifty Years of the Spectral Theory of Schrodinger Operators - B. Simon - 2/24/2019
caltech
On Laplacian Eigenmaps for Dimensionality Reduction - Juan Orduz
PyData Berlin 2018 The aim of this talk is to describe the non-linear dimensionality reduction algorithm based on spectral techniques introduced in ...
PyData
Lec 8 | MIT 3.320 Atomistic Computer Modeling of Materials
Case Studies of DFT View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at ...
MIT OpenCourseWare
Statistical Signal Processing for Modern High-Dimensional Data Sets
April 8, 2009 - Patrick Wolfe, Associate Professor of Electrical Engineering, Statistics and Information Sciences Laboratory, School of Engineering and Applied ...
Harvard University
Conference Jacob Palis at IMPA - Jacob Palis and homoclinic bifurcations
On the occasion of his 80th birthday "On Jacob mathematical and non-mathematical contributions" Speaker: Carlos Gustavo Moreira (IMPA) - Jacob Palis and ...
Instituto de Matemática Pura e Aplicada
Eigenvalue distribution for non linear models of random matrices
Spealer: Sandrine PECHE (Universite' Paris Diderot, France) School and Workshop on Random Matrix Theory and Point Processes | (smr 3382) ...
ICTP Mathematics
On the several ways to regularize optimal transport. - Cuturi - Workshop 3 - CEB T1 2019
Marco Cuturi (ENSAE and Google) / 02.04.2019 On the several ways to regularize optimal transport. After briefly introducing the optimal transport problem, I will ...
Institut Henri Poincaré
Sparsification of graphs and matrices - Daniel Spielman
Daniel Spielman Yale University November 3, 2014 Random graphs and expander graphs can be viewed as sparse approximations of complete graphs, with ...
Institute for Advanced Study
New Tools for Analysis of Markov Chains via High-Dimensional Expansion
Kuikui Liu (University of Washington) Geometry of Polynomials Reunion ...
Simons Institute
MagLab Theory Winter School 2019: Kristjan Haule part 2
Topic: The National MagLab held it's seventh Theory Winter School in Tallahassee, FL from January 7th - 11th, 2019.
National MagLab
Continuous Methods for Discrete Optimization: From Convex Relaxations, to Iterative Schemes...
Aleksander Mądry, MIT https://simons.berkeley.edu/talks/alexander-madry-10-02-17 Fast Iterative Methods in Optimization.
Simons Institute
Pedagogical Talk: Failure of Low-Degree Polynomials
Alex Wein, NYU https://simons.berkeley.edu/talks/pedagogical-talk-failure-local-algorithms Computational Phase Transitions.
Simons Institute
VSM, LSA, & SVD | Introduction to Text Analytics with R Part 7
Part 7 of this video series includes specific coverage of: – The trade-offs of expanding the text analytics feature space with n-grams. – How bag-of-words ...
Data Science Dojo
Strongly log concave polynomials...Bases of Matroids - Shayan Oveis Gharan
More videos on http://video.ias.edu.
Institute for Advanced Study
Local eigenvalue statistics at the edge of the spectrum - Alexander Sodin
Alexander Sodin Princeton University December 5, 2013 We discuss two random decreasing sequences of continuous functions in two variables, and how they ...
Institute for Advanced Study
Soliton quantization and random partitions
Speaker: Alexander MOLL (Northeastern University, Boston, U.S.A.) School and Workshop on Random Matrix Theory and Point Processes | (smr 3382) ...
ICTP Mathematics
Joachim KRIEGER - On stability of type II blow up solutions for the critical NLW
I will discuss a recent result on conditional stability for a class of type II blow up solutions for the critical focussing NLW on R^{3+1}. This is joint work with W.
Institut des Hautes Études Scientifiques (IHÉS)
Sinéad RYAN - QCD: Numerical Integration of a Quantum Field Theory
At hadronic energy scales, quantum chromodynamics (QCD) requires a nonperturbative treatment to calculate physical observables. Lattice QCD is a ...
Institut des Hautes Études Scientifiques (IHÉS)
Conference Jacob Palis at IMPA - Thermodynamic Formalism for product type and Dyson potentials
On the occasion of his 80th birthday "On Jacob mathematical and non-mathematical contributions" Speaker: Artur Lopes (UFRGS) - Thermodynamic Formalism ...
Instituto de Matemática Pura e Aplicada
Spectral Sparsification of Graphs and Approximations of Matrices
We introduce a notion of what it means for one graph to be a good spectral approximation of another. This induces the problem of spectral sparsification: finding ...
Microsoft Research
Scientific Machine Learning: Where Physics-based Modeling Meets Data-driven Learning
Karen Willcox, University of Texas at Austin; SFI Scientific machine learning is an emerging research area focused on the opportunities and challenges of ...
Santa Fe Institute
Boumediene Hamzi: "Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to ...
Institute for Pure & Applied Mathematics (IPAM)
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization Lazy Training
Andrea Montanari (Stanford University) Probability, Geometry, and Computation in High Dimensions Seminar, Sep. 3, 2020 Modern neural networks are often ...
Simons Institute
MIA: Cem Anil and James Lucas on provable adversarial robustness; Primer, Roger Grosse
Models, Inference and Algorithms February 12, 2020 MIA Meeting: https://youtu.be/bLMRkXJD45U?list=PLlMMtlgw6qNjROoMNTBQjAcdx53kV50cS&t=3111 ...
Broad Institute
Perturbation methods for nonlinear PDEs (Lecture - 04) by Vishal Vasan
ICTS Lecture by Vishal Vasan on 1, 3, 7, & 8th May, 2019 at 11:00 AM Title : Perturbation methods for nonlinear PDEs Speaker : Vishal Vasan, ICTS – TIFR, ...
International Centre for Theoretical Sciences
Tensor networks I
Speaker: Ulrich Joseph Schollwoeck (LMU Munich, Germany) Summer School on Collective Behaviour in Quantum Matter | (smr 3235) ...
ICTP Condensed Matter and Statistical Physics
Graph Multi-partitioning and Higher Order Cheeger Inequalities; Anand Louis - Georgia Tech
Cheeger's fundamental inequality states that any edge-weighted graph has a vertex subsetS such that its expansion (a.k.a. conductance ofS or the sparsity of ...
Microsoft Research
L07, Xavier Gonze, Plane-wave pseudopotentials and projector augmented wave methods
Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Humboldt University, ...
fhitheory
Primal-Dual Algorithms for Hyperbolic Programming Problems
Levent Tuncel (University of Waterloo) https://simons.berkeley.edu/talks/primal-dual-algorithms-hyperbolic-programming-problems Hyperbolic Polynomials and ...
Simons Institute
Algorithmic Applications of Log-Concave Polynomials and High-Dimensional Expanders
Kuikui Liu (University of Washington) https://simons.berkeley.edu/talks/tbd-36 Beyond Randomized Rounding and the Probabilistic Method.
Simons Institute
Vibration of floors and footfall analysis in Autodesk Robot Structural Analysis Professional
Theoretical background and implementation of floor vibrations and footfall analysis in Robot.
Autodesk Building Solutions
The Origin and Evolution of Life, A Physical Problem? ▸ KITP Colloquium by Manfred Eigen
Manfred Eigen received his PhD at the University of Göttingen and is the former director of the Max Planck Institute for Biophysical Chemistry in Göttingen.
Kavli Institute for Theoretical Physics
Mean field asymptotics in high-dimensional statistics – A. Montanari – ICM2018
Probability and Statistics Invited Lecture 12.16 Mean field asymptotics in high-dimensional statistics: From exact results to efficient algorithms Andrea Montanari ...
Rio ICM2018
Optimal Hamiltonian simulation by quantum signal processing
"Efficient simulation of quantum systems motivates quantum computers and is a longstanding problem. We provide a simple quantum algorithm that simulates a ...
Microsoft Research
