Our research group is part of the School of Computer and Communication Sciences at EPFL in Lausanne, Switzerland. The group is lead by Matthias Grossglauser and Patrick Thiran. Our research focuses broadly on the statistical modeling of large dynamical systems involving both human and technical agents. Examples include social and information networks, epidemic processes, human mobility and transportation, and recommender systems. Our work lies at the intersection of machine learning, probabilistic modeling, large-scale data analytics, and performance analysis. Here are the research areas we work on:
Multi-Armed Bandit in Action: Optimizing Performance in Dynamic Hybrid Networks S. Henri, C. Vlachou and P. Thiran IEEE/ACM Transactions on Networking, 2018-07-27.
Can Who-Edits-What Predict Edit Survival? A. B. Yardım, V. Kristof, L. Maystre and M. Grossglauser 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, August 19-23, 2018.
On the Delays in Time-Varying Networks: Does Larger Service-Rate Variance Imply Larger Delays? S. Henri, S. Shneer and P. Thiran Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Los Angeles, CA, USA, June 26 - 29, 2018.
A General Framework for Sensor Placement in Source Localization B. Spinelli, E. Celis and P. Thiran IEEE Transactions on Network Science and Engineering, 2017.
The effect of transmission variance on observer placement for source-localization B. Spinelli, E. Celis and P. Thiran Applied Network Science, 2017.