PIRSA Logo


PERIMETER INSTITUTE RECORDED SEMINAR ARCHIVE

Displaying all lectures given by: Lauren Hayward Sierens


PIRSA:19040003  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 8
Abstract:

Dimensional reduction using t-distributed stochastic neighbour embedding (t-SNE); Kullback-Liebler (KL) divergence; maximum likelihood estimation

Date: 03/04/2019 - 10:15 am

PIRSA:19040002  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 7
Abstract:

Introduction to unsupervised learning; dimensional reduction using principal component analysis

Date: 02/04/2019 - 9:00 am

PIRSA:19040001  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 6
Abstract:

Convolutional neural networks: local receptive fields, shared weights and biases, pooling

Date: 01/04/2019 - 9:00 am

PIRSA:19030057  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 5
Abstract:

Monte Carlo sampling; summary of hyperparameters in feedforward neural networks

Date: 29/03/2019 - 9:00 am

PIRSA:19030056  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 4
Abstract:

Training, validation and testing datasets; methods that prevent overfitting; using supervised neural networks to classify phases of matter (classical Ising model, classical Ising gauge theory)

Date: 28/03/2019 - 9:00 am

PIRSA:19030055  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 3
Abstract:

Alternatives to gradient descent, backpropagation, recognizing overfitting

Date: 27/03/2019 - 9:00 am

PIRSA:19030054  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 2
Abstract:

Supervised learning with feedforward neural networks: weights and biases, activation functions, cost functions, gradient descent

Date: 26/03/2019 - 9:00 am

PIRSA:19030053  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 1
Abstract:

Motivation; goals of machine learning and many-body physics; definitions of supervised, unsupervised and reinforcement learning

Date: 25/03/2019 - 9:00 am

PIRSA:18100035  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Statistical Mechanics - Lecture 12
Abstract:

Classical Monte Carlo methods for the XY model (Lauren's Lecture Notes)

Date: 29/10/2018 - 10:45 am

PIRSA:18080026  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Programming in Python - Lecture 2
Abstract:

Useful functions to use with for loops, more about NumPy, plotting using Matplotlib, curve fitting using SciPy, list of other useful libraries and tools

Date: 28/08/2018 - 10:30 am

PIRSA:18080024  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Programming in Python - Lecture 1
Abstract:

Basics of Jupyter notebooks, basics of Python, control structures, basics of NumPy 

Date: 27/08/2018 - 10:30 am

PIRSA:18040058  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 - Machine Learning for Many Body Physics - Lecture 5
Abstract:
Date: 13/04/2018 - 9:00 am

PIRSA:18040057  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 - Machine Learning for Many Body Physics - Lecture 4
Abstract:
Date: 12/04/2018 - 9:00 am

PIRSA:18040056  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 - Machine Learning for Many Body Physics - Lecture 3
Abstract:
Date: 11/04/2018 - 9:00 am

PIRSA:18040055  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 Machine Learning for Many Body Physics - Lecture 2
Abstract:
Date: 10/04/2018 - 9:00 am

PIRSA:18040054  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 - Machine Learning for Many Body Physics - Lecture 1
Abstract:
Date: 09/04/2018 - 9:00 am

PIRSA:17100046  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 - Statistical Mechanics - Lecture 13
Abstract:

Equilibration & Measurement, Monte Carlo for the 2d Ising Model, Finite-Size Scaling

Date: 26/10/2017 - 10:45 am

PIRSA:17100045  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2017/2018 - Statistical Mechanics - Lecture 12
Abstract:

Bonus Lecture: Black Hole Thermodynamics

Date: 25/10/2017 - 10:45 am
Valid XHTML 1.0!