Sven Kreiss

Achievements in Two Years at EPFL

Summary of achievements in my first two years back in academia at EPFL.

in ML · April 03, 2020

Artisanal S2 Cells

S2 cells are a powerful tool to index and compute over geospatial data. This short post shows how to create S2 cell ids by hand.

in Tech · November 28, 2018

University research labs have a different structure than corporate research labs and their compute setups. In this post, I list useful Python resources for starting in a university machine learning lab.

in Science · November 23, 2018

AncientML 1

AncientML is a series of paper reading notes. This first edition covers the first mention of AI and the Mathematical Theory of Communication.

in ML · March 05, 2018

pelican-jsmath Plugin

An \(\alpha\omega\epsilon s \sigma m \epsilon\) Pelican plugin to render math in JavaScript libraries like KaTeX. This plugin makes sure that equations are preserved in the Markdown and Restructured Text parsers and get reproduced properly in HTML for a JavaScript renderer to process.

in Tech · February 18, 2018

Pelican 2018

Updates to Pelican and this blog. This is a summary of theme changes, a list of my favorite plugins, and a summary of plugins that I updated to improve this website. It also contains a short discussion of the pelican-plugins repository and its potential consequences for the lacking popularity of individual plugins.

in Tech · February 10, 2018

Stream Processing in pysparkling

pysparkling now supports stream processing with discrete streams, called DStream. This post shows a simple example that uses this new API.

in Tech · March 11, 2017

Decouple

Decoupling theoretical uncertainties from measurements of the Higgs boson.

in Science · December 31, 2016

Databench v0.4

New release of Databench that switches the backend from Flask to Tornado, fully supports Python 2 and 3, transpiles ES6 to legacy JavaScript and runs unit tests and coverage on every commit.

in Tech · September 22, 2016

word2vec on Databricks

Running word2vec on Databricks. A full example of using gensim and distributed maps with Spark to run this Python analysis on Databricks.

in Tech · December 22, 2015

Parallel Processing with pysparkling

Benchmarks for the latest parallel features in pysparkling. It shows good scaling for processing with multiple CPU cores. The example contains only a simple computation which shows that hyperthreading is not very effective in this case.

in Tech · December 04, 2015

pysparkling Talks

A collection of talks and links on pysparkling at PyGothan and Hack-and-Tell.

in Tech · August 16, 2015

pysparkling

A pure Python implementation of Apache Spark's RDD interfaces. pysparkling does not depend on Java and has a small execution overhead. It can be a fast test runner for Spark applications.

in Tech · May 29, 2015

Wildcardians on Twitter

A short project to visualize the social Twitter graph of people at Wildcard. The backend is particularly efficient in the number of API calls. The visualization is interactive in d3.js.

in Tech · April 27, 2015

Collaborative Statistical Modeling

A poster about the collaborative statistical modeling work that Kyle Cranmer and I did and that was used to discover the Higgs boson. We presented this at the opening of the Center for Data Science at NYU.

in Science · April 11, 2015

PhD Thesis

Finished my PhD thesis: Higgs Boson Discovery and First Property Measurements using the ATLAS Detector. It summarizes my work over a few years on Higgs Physics with ATLAS and on collaborative statistical modeling.

in Science · August 17, 2014