Lukas Faber

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 60.1
ETH Zurich
Gloriastrasse 35
8092 Zurich
Switzerland
phone | +41 44 63 27028 |
fax | +41 44 63 21036 |
Publications
-
GwAC: GNNs with Asynchronous Communication
Lukas Faber and Roger Wattenhofer.
2nd Learning on Graphs Conference (LoG), Virtual, November 2023.
BibTeX -
GraphChef: Learning the Recipe of Your Dataset
Peter Müller, Lukas Faber, Karolis Martinkus and Roger Wattenhofer.
Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning, Honolulu, Hawaii, July 2023.
BibTeX -
Neural Status Registers
Lukas Faber and Roger Wattenhofer.
International Conference on Machine Learning (ICML), Honolulu, Hawaii, July 2023.
BibTeX -
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (Spotlight)
Pál András Papp, Karolis Martinkus, Lukas Faber and Roger Wattenhofer.
35th Conference on Neural Information Processing Systems (NeurIPS), Virtual, December 2021.
BibTeX -
Towards Robust Graph Contrastive Learning
Nikola Jovanovic, Zhao Meng, Lukas Faber and Roger Wattenhofer.
Workshop on Self-Supervised Learning for the Web (SSL@WWW 2021), Online, April 2021.
BibTeX -
Learning Lower Bounds for Graph Exploration With Reinforcement Learning
Jorel Elmiger, Lukas Faber, Pankaj Khanchandani, Oliver Richter and Roger Wattenhofer.
Learning meets Combinatorial Algorithms Workshop @ NeurIPS 2020, online, December 2020.
BibTeX -
Medley2K: A Dataset of Medley Transitions
Lukas Faber, Sandro Luck, Damian Pascual, Andreas Roth, Gino Brunner and Roger Wattenhofer.
13th International Workshop on Machine Learning and Music (MML at ECML-PKDD), Ghent, Belgium, September 2020.
BibTeX -
Contrastive GNN Explanation
Lukas Faber, Amin K. Moghaddam and Roger Wattenhofer.
Graph Representation Learning and Beyond Workshop (GRL+ at ICML), July 2020.
BibTeX -
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket
Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller and Danai Koutra.
International Conference on Data Mining (ICDM), Beijing, China, November 2019.
BibTeX -
A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data
Cindy Perscheid, Lukas Faber, Milena Kraus, Paul Arndt, Michael Janke, Sebastian Rehfeldt, Antje Schubotz, Tamara Slosarek and Matthias Uflacker.
International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, December 2018.
BibTeX -
Low Redundancy Estimation of Correlation Matrices for Time Series using Triangular Bounds
Erik Scharwächter, Fabian Geier, Lukas Faber and Emmanuel Müller.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia, May 2018.
BibTeX -
Serving Live Multimedia for the Linked Open Data Cloud
Sebastian Serth, Stephan Haarmann and Lukas Faber.
Jahrestagung der Gesellschaft für Informatik, Chemnitz, Germany, September 2017.
BibTeX