Emile Mathieu

Emile Mathieu

Machine Learning Research Scientist

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Posts

An Introduction to Flow Matching

less than 1 minute read

Published:

Flow matching (FM) is a recent generative modelling paradigm which has rapidly been gaining popularity in the deep probabilistic ML community. Flow matching combines aspects from Continuous Normalising Flows (CNFs) and Diffusion Models (DMs), alleviating key issues both methods have. In this blogpost we’ll cover the main ideas and unique properties of FM models starting from the basics.

A Minimal Deep Learning Library Implementation In Python

5 minute read

Published:

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This tutorial introduces the main blocks needed to build a deep learning library in a few lines of Python. You'll learn how to build your (very) light-weight version of PyTorch!

An Efficient Soft-Margin Kernel SVM Implementation In Python

9 minute read

Published:

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This short tutorial aims at introducing support vector machine (SVM) methods from its mathematical formulation along with an efficient implementation in a few lines of Python! Do play with the full code hosted on my github page. I strongly recommend reading Support Vector Machine Solvers (from L. Bottou & C-J. Lin) for an in-depth cover of the topic, along with the LIBSVM library. The present post naturally follows this introduction on SVMs.

10 Best Beer Gardens In Oxford

7 minute read

Published:

If you are passing by Oxford as a tourist, a visiting student or have already been living there for a while, you cannot miss the enthralling excitement happening around the many bars and pubs scattered in the city. There are especially a significant selection of front and back gardens which offer the perfect place to drink a pint or a glass of Pimm's. I hope you'll love my hand-curated list of the most thrilling beer gardens one can find in The City of Dreaming Spires!

portfolio

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teaching

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.