Batch, Off-Policy and Model-Free Apprenticeship Learning. - Edouard Klein; Matthieu Geist; Olivier Pietquin (EWRL, 2011)

Inverse Reinforcement Learning through Structured Classification. - Edouard Klein; Matthieu Geist; Bilal Piot; Olivier Pietquin (NIPS, 2012)

A Cascaded Supervised Learning Approach to Inverse Reinforcement Learning. - Edouard Klein; Bilal Piot; Matthieu Geist; Olivier Pietquin (ECML/PKDD (1), 2013)

Classification structurée pour l'apprentissage par renforcement inverse. - Edouard Klein; Bilal Piot; Matthieu Geist; Olivier Pietquin (Rev. d'Intelligence Artif., 2013)

Contributions à l'apprentissage par renforcement inverse. (Work on Inverse Reinforcement Learning). - Edouard Klein (2013)

Easy steps towards a sane IT policy in hospitals. - Edouard Klein (CoRR, 2015)

Leveraging Implicit Spatial Information in Global Features for Image Retrieval. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (ICIP, 2018)

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (ICCV, 2019)

Efficient Codebook and Factorization for Second Order Representation Learning. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (ICIP, 2019)

Improving Deep Metric Learning with Virtual Classes and Examples Mining. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (CoRR, 2020)

DIABLO: Dictionary-based attention block for deep metric learning. - Pierre Jacob; David Picard; Aymeric Histace; Edouard Klein (Pattern Recognit. Lett., 2020)