8. The Scaling Hypothesis Part 3
MIT 8.334 Statistical Mechanics II: Statistical Physics of Fields, Spring 2014 View the complete course: http://ocw.mit.edu/8-334S14 Instructor: Mehran Kardar In ...
MIT OpenCourseWare
Mod-02 Lec-07 Oscillators, Resonances, Waves(i)
Special Topics in Classical Mechanics by Prof. P.C. Deshmukh,Department of Physics,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
Large-scale clustering with counts-in-cells statistics - C. Uhlemann - Workshop 1 - CEB T3 2018
Cora Uhlemann (DAMTP Cambridge) / 21.09.2018 Large-scale clustering with counts-in-cells statistics ---------------------------------- Vous pouvez nous rejoindre ...
Institut Henri Poincaré
Efficient Second-order Optimization for Machine Learning
Stochastic gradient-based methods are the state-of-the-art in large-scale machine learning optimization due to their extremely efficient per-iteration ...
Microsoft Research
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization, NIPS 2016
Sebastian Nowozin, Microsoft Research Generative neural samplers are probabilistic models that implement sampling using feedforward neural networks: they ...
Preserve Knowledge
Dr. Nicholas Zabaras: "Physics-Informed Learning for Multiscale Systems"
Presentation by Nicholas Zabaras on "Physics-Informed Learning for Multiscale Systems" on 11/29/2018 Symposium on “Big Data Challenges for Predictive ...
CICS at Notre Dame
Finite-cutoff JT gravity and self-avoiding loops-Zhenbin Yang
ICTS String Seminars
Classical Approaches to Simulating Quantum Chemistry
Martin Head-Gordon, UC Berkeley https://simons.berkeley.edu/talks/martin-head-gordon-06-11-18 Challenges in Quantum Computation.
Simons Institute
Ben Linsay on HyperLogLog [PWL NYC]
Meetup: https://bit.ly/2sPHrDU Paper: https://bit.ly/1QlcaxD Slides: https://bit.ly/2JMeza6 Audio: https://bit.ly/2t5EwqL ...
PapersWeLove
Yusu Wang (4/25/18): Graph reconstruction via discrete Morse theory
Graphs form one of the most important types of data in various applications across science and engineering. They could be geometric in nature, such as road ...
Applied Algebraic Topology Network
Fast shape finding procedures combining the natural force density method and parametric programming
Fast shape finding procedures combining the natural force density method and parametric programming M. S. V. Souza & R. M. O. Pauletti Copyrights of this ...
IWSS2020
Lecture71 (Data2Decision) Response Surface Modeling
Response Surface Methodology (RSM), central composite designs, with properties of orthogonality, rotatability, uniformity, and efficiency. Course Website: ...
Chris Mack
11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods
MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/10-34F15 Instructor: James Swan ...
MIT OpenCourseWare
5. The Landau-Ginzburg Approach Part 4
MIT 8.334 Statistical Mechanics II: Statistical Physics of Fields, Spring 2014 View the complete course: http://ocw.mit.edu/8-334S14 Instructor: Mehran Kardar In ...
MIT OpenCourseWare
The nature of charge-density wave: A Quantum Monte Carlo Study - Natanael de Carvalho Costa
Workshop on Strong Electron Correlations in Quantum Materials: Inhomogeneities, Frustration, and Topology Natanael de Carvalho Costa (IF-UFRJ, Brazil) ...
ICTP-SAIFR
Arno Kuijlaars: Tilings of a hexagon and non-hermitian orthogonality on a contour
I will discuss polynomials $P_{N}$ of degree $N$ that satisfy non-Hermitian orthogonality conditions with respect to the weight $\frac{\left ( z+1 \right )^{N}\left ...
Centre International de Rencontres Mathématiques
Representational and Optimization Properties of Deep Residual Networks
Peter Bartlett, UC Berkeley Computational Challenges in Machine Learning https://simons.berkeley.edu/talks/tba-1.
Simons Institute
GAN Lecture 4 (2018): Basic Theory
Hung-yi Lee
Lec 25 | MIT 18.086 Mathematical Methods for Engineers II
Saddle Points / Inf-sup condition View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at ...
MIT OpenCourseWare
Extending simulation-based Bayesian inference to higher dimensions
Christopher Drovandi Queensland University of Technology Brisbane, Australia.
Institute for Mathematical Sciences
Splitting Gradient Descent for Incremental Learning of Neural Architectures
Qiang Liu (University of Texas at Austin) https://simons.berkeley.edu/talks/tbd-58 Frontiers of Deep Learning.
Simons Institute
Robert Scheichl: Generalised finite elements: domain decomposition, optimal local approximation...
I will present an efficient implementation of the highly robust and scalable GenEO preconditioner in the high-performance PDE framework DUNE. The GenEO ...
Centre International de Rencontres Mathématiques
Mod-02 Lec-04 An Overview of Static Optimization -- I
Optimal Control, Guidance and Estimation by Dr. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. For more details on NPTEL visit ...
nptelhrd
Regularization, Perturbations, and Stability in Online Learning
Ambuj Tewari, University of Michigan https://simons.berkeley.edu/talks/ambuj-tewari-5-3-18 Mathematical and Computational Challenges in Real-Time Decision ...
Simons Institute
On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex
Many new theoretical challenges have arisen in the area of gradient-based optimization for large-scale statistical data analysis, driven by the needs of ...
Microsoft Research
Multi-agent modelling in Complex Socio-economical Systems by Anirban Chakraborti
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima ...
International Centre for Theoretical Sciences
Caustic skeleton of the Cosmic Web - R. van de Weygaert - Workshop 1 - CEB T3 2018
Rien van de Weygaert (Kapteyn Astronomical Institute, Univ. Groningen) / 21.09.2018 Caustic skeleton of the Cosmic Web ---------------------------------- Vous ...
Institut Henri Poincaré
On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic
Michael Jordan, UC Berkeley Computational Challenges in Machine Learninghttps://simons.berkeley.edu/talks/michael-jordan-2017-5-2.
Simons Institute
Yoshiyuki Kabashima - On replica-BP correspondence in rotational invariant SG models
In Sherrington-Kirkpatrick model, it is known that (1) the macroscopic dynamics of belief propagation (BP), which is sometimes referred to as "state evolution" of ...
Chimera Channel
Introduction to Resurgence, Trans-series and Non-perturbative Physics III by Gerald Dunne
Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography DATE:27 January 2018 to 03 February 2018 ...
International Centre for Theoretical Sciences
A Theoretical Approach to Semantic Coding and Hashing
Sanjeev Arora, Princeton University https://simons.berkeley.edu/talks/sanjeev-arora-2016-11-15 Learning, Algorithm Design and Beyond Worst-Case Analysis.
Simons Institute
Fluctuations of current in non-stationary diffusive lattice gases by Baruch Meerson
PROGRAM URL : http://www.icts.res.in/program/NESP2015 DATES : Monday 26 Oct, 2015 - Friday 20 Nov, 2015 VENUE : Ramanujan Lecture Hall, ICTS ...
International Centre for Theoretical Sciences
Many ways to lose your mind: Dimensions of robustness in noisy ... by Upi Bhalla
Information processing in biological systems URL: https://www.icts.res.in/discussion_meeting/ipbs2016/ DATES: Monday 04 Jan, 2016 - Thursday 07 Jan, 2016 ...
International Centre for Theoretical Sciences
On a first-order primal-dual algorithm with applications to convex problems in computer vision
In the first part of the talk I give new results for a first-order primal-dual algorithm to solve non-smooth convex optimization problems with known saddle-point ...
Microsoft Research
[PURDUE MLSS] Graphical Models for the Internet by Alexander Smola (Part 3/8)
Lecture notes: http://learning.stat.purdue.edu/mlss/_media/mlss/smola.pdf Graphical Models for the Internet Information extraction from webpages, social ...
Purdue University
Lecture 2 | Recent Advances in Algorithms | Aleksander Mądry
Lecture 2 | Курс: Recent Advances in Algorithms | Лектор: Aleksander Mądry | Организатор: Computer Science Club Смотрите это видео на Лекториуме:...
Лекториум
Deep Learning in Python
Tobias Brandt https://2016.za.pycon.org/talks/16/ This talk will give an introduction to Neural Networks and Deep Learning in Python. We will cover some of the ...
PyCon South Africa
Tin-Lun (Jason) Ho
Tin-Lun (Jason) Ho, The Ohio State University “Signature of spin, charge, and pairing correlation in fermions in optical lattices from thermodynamic and density ...
ITAMP Physics
Deep Learning IV Joan Bruna NYU
Paul G. Allen School
Lecture 23 : Analysis Procedures of Aperture Antenna (contd.)
IIT Kharagpur July 2018
Lecture 27: Relativistic Path Integral
IIT Roorkee July 2018
Session 1: Reinforcement Learning
Watch this video with AI-generated Table of Content (ToC), Phrase Cloud and In-video Search here: ...
ICML IJCAI ECAI 2018 Conference Videos
