ease.ml: integrating AutoML into SDSC Eco-Systems

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...

PACMAN – Particle Accelerators and Machine Learning

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...

EconMultiplex: Multiplex Networks in International Trade

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...

Deep Learning for Observational Cosmology – DLOC

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...