This post is the summarization of the paper “Irregularity-Aware Graph Fourier Transforms” by Benjamin Giroult, Antonio Ortega, and Shrikanth S. Narayanan.

I am switching to pytorch and here are some piece of code that I think will be useful to copy-paste later.

Terence Tao revisited the Regularity Lemma.

This post is the summarization of the paper “Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning” by Zhen He, Shaobing Gao, Liang Xiao, Daxue Liu Hangen He, and David Barber. Published as a conference paper at NIPS 2017, Long Beach, CA, USA.

Chalk is a high quality, completely customizable, performant and 100% free blog template for Jekyll.

Learn more about the config file for Chalk and how to set it up properly.

Have a look at all the predesigned elements you can use in Chalk.

In this post, we study the result of Song Hans' work on AlexNet.

May the 4th be with you.

In this tutorial we install the Caffe version 1.0.0-rc5 from source (check the Makefile for the Caffe version).

p1-lanelines on Github

This post contains some of my short articles and reading list about network motif and its application.

Dataset: Boston housing

Dataset: Titanic survival

The Principal Component Analysis (PCA) is a technique used in many fields: data science, signal processing, mechanics, etc. As a student of machine learning, I should take sometime to at least review this technique; and maybe ICA too, in some future posts.