by Nicole Andria | Apr 11, 2019
ease.ml: integrating AutoML into SDSC Eco-Systems Co-PIs: Prof. Dr. Ce Zhang, ETH Zürich Prof. Andreas Krause, ETH Zürich Objectives: Integrate ease.ml into the SDSC eco-system (in particular, the RENKU platform) and provide model selection functionalities to a...
by Nicole Andria | Apr 11, 2019
RenSho – Creating a comprehensive platform to enhance reproducibility in data-science driven research with Renku and Shogun Co-PIs: Gunnar Rätsch, ETH Zürich Objectives: The first goal of this project is to provide Renku with a scheme for integrating external ML...
by Nicole Andria | Apr 11, 2019
PACMAN – Particle Accelerators and Machine Learning Co-PIs: Jochem Snuverink, PSI Tatiana Pieloni, EPFL Andreas Adelmann, PSI Markus Janousch, PSI Vittoria Rezzonico, EPFL Objectives: Particle accelerator facilities have a wide range of operational needs when it comes...
by Nicole Andria | Apr 10, 2019
EconMultiplex: Multiplex Networks in International Trade Co-PIs: Peter Egger, ETH Zürich Objectives: This project addresses the issue of economic network interdependence at the level of firms in China and their connectedness among each other as well as with the rest...
by Nicole Andria | Sep 7, 2018
Deep Learning for Observational Cosmology – DLOC Co-PIs: Dr. Tomasz Kacprzak (ETH Zürich) Dr. Aurelien Lucchi (ETH Zürich) Prof. Alexandre Refregier (ETH Zürich) Prof. Thomas Hofmann (ETH Zürich) Project presentation April 20th 2018 Watch the video Problem: Building...
