A Non-parametric Approach to Approximate Dynamic Programming. - Hadrien Glaude; Fadi Akrimi; Matthieu Geist; Olivier Pietquin (ICMLA (1), 2011)

Subspace identification for predictive state representation by nuclear norm minimization. - Hadrien Glaude; Olivier Pietquin; Cyrille Enderli (ADPRL, 2014)

Spectral learning with non negative probabilities for finite state automaton. - Hadrien Glaude; Cyrille Enderli; Olivier Pietquin (ASRU, 2015)

Non-negative Spectral Learning for Linear Sequential Systems. - Hadrien Glaude; Cyrille Enderli; Olivier Pietquin (ICONIP (2), 2015)

Learning of scanning strategies for electronic support using predictive state representations. - Hadrien Glaude; Cyrille Enderli; Jean-François Grandin; Olivier Pietquin (MLSP, 2015)

PAC learning of Probabilistic Automaton based on the Method of Moments. - Hadrien Glaude; Olivier Pietquin (ICML, 2016)

Méthodes des moments pour l'inférence de systèmes séquentiels linéaires rationnels. (Learning rational linear sequential systems using the method of moments). - Hadrien Glaude (2016)

A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. - Varun Kumar; Hadrien Glaude; Cyprien de Lichy; William Campbell (DeepLo@EMNLP-IJCNLP, 2019)

Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. - Manoj Kumar 007; Varun Kumar; Hadrien Glaude; Cyprien de Lichy; Aman Alok; Rahul Gupta 001 (SLT, 2021)