Research

Our publications database  contains scientific papers and technical reports written by our scientists for over the last two decades.

If the document you are looking for cannot be downloaded in PDF or Postscript format, please contact us specifying the title, author(s) and reference. Any document downloaded from this database may be used for non-commercial purposes only.

LABS publications (Korean website, publications in English)

Running Tour Generation for Unknown Environments
Jutta Willamowski, Stéphane Clinchant, Christophe Legras, Sofia Michel, Shreepriya Shreepriya

HCII 2019, Orlando, USA, 26 - 31 July 2019

Multimodal routing with time-dependent taxi lifts
Vassilissa Lehoux, Christelle Loïodice, Darko Drakulic

EURO 2019, Dublin, Ireland, 24 - 26 June 2019

Assessing the Intent and Effectiveness of Carbon Footprint Calculators
Cecile Boulard, Stefania Castellani, Tommaso Colombino, Antonietta Grasso

ECSCW, Salzburg, Austria, 08 - 12 June 2019

Multi-Agent Learning and Coordination with Clustered Deep Q-Network
Simon Pageaud, Véronique Deslandres, Vassilissa Lehoux, Salima Hassas

AAMAS 2019, Montreal, Canada, 13 - 17 May 2019

The Case for a GDPR-specific Annotated Dataset of Privacy Policies
Athena Christofi, Matthias Gallé

PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies (https://sites.google.com/view/pal2019/), Stanford, USA, 25 - 26 March 2019

Optimal Policies for Observing Time Series and Related Restless Bandit Problems
Christopher Dance, Tomi Silander

Journal of Machine Learning Research (JMLR), 20 (35), pp. 1-93

Adversarial networks for machine reading
Quentin Grail, Julien Perez, Tomi Silander

Revue TAL, 59 (2)

On Inductive Abilities of Latent Factor Models for Relational Learning
Theo Trouillon, Eric Gaussier, Christopher Dance, Guillaume Bouchard

Journal of Artificial Intelligence Research, 64, pp. 21-53

LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
Gregory Rogez, Philippe Weinzaepfel, Cordelia Schmid

IEEE Transactions on Pattern Analysis and Machine Intelligence

Insights of human-transportation system interactions inferred from public transit operational data
Frédéric Roulland, Jos Rozen, John C. Handley

Transportation Research Procedia, 32, pp. 24-33