Fully Automated and Adaptive Detection of Amyloid Plaques in Stained Brain Sections of Alzheimer Transgenic Mice. - Abdelmonem Feki; Olivier Teboul; Albertine Dubois; Bruno Bozon; Alexis Faure; Philippe Hantraye; Marc Dhenain; Benoît Delatour; Thierry Delzescaux (MICCAI (2), 2007)

Single view reconstruction using shape grammars for urban environments. - Panagiotis Koutsourakis; Loïc Simon; Olivier Teboul; Georgios Tziritas; Nikos Paragios (ICCV, 2009)

Segmentation of building facades using procedural shape priors. - Olivier Teboul; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (CVPR, 2010)

3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs. - Chaohui Wang; Olivier Teboul; Fabrice Michel; Salma Essafi; Nikos Paragios (MICCAI (3), 2010)

Shape grammar parsing via Reinforcement Learning. - Olivier Teboul; Iasonas Kokkinos; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (CVPR, 2011)

Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. - Loïc Simon; Olivier Teboul; Panagiotis Koutsourakis; Nikos Paragios (Int. J. Comput. Vis., 2011)

Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. - Loïc Simon; Olivier Teboul; Panagiotis Koutsourakis; Luc Van Gool; Nikos Paragios (CVPR, 2012)

Parsing Facades with Shape Grammars and Reinforcement Learning. - Olivier Teboul; Iasonas Kokkinos; Loïc Simon; Panagiotis Koutsourakis; Nikos Paragios (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Differentiable Ranking and Sorting using Optimal Transport. - Marco Cuturi; Olivier Teboul; Jean-Philippe Vert (NeurIPS, 2019)

Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. - Marco Cuturi; Olivier Teboul; Jean-Philippe Vert (CoRR, 2019)

MULEX: Disentangling Exploitation from Exploration in Deep RL. - Lucas Beyer; Damien Vincent; Olivier Teboul; Sylvain Gelly; Matthieu Geist; Olivier Pietquin (CoRR, 2019)

Fast Differentiable Sorting and Ranking. - Mathieu Blondel; Olivier Teboul; Quentin Berthet; Josip Djolonga (ICML, 2020)

Supervised Quantile Normalization for Low Rank Matrix Factorization. - Marco Cuturi; Olivier Teboul; Jonathan Niles-Weed; Jean-Philippe Vert (ICML, 2020)

Learning with Differentiable Pertubed Optimizers. - Quentin Berthet; Mathieu Blondel; Olivier Teboul; Marco Cuturi; Jean-Philippe Vert; Francis R. Bach (NeurIPS, 2020)

Supervised Quantile Normalization for Low-rank Matrix Approximation. - Marco Cuturi; Olivier Teboul; Jonathan Niles-Weed; Jean-Philippe Vert (CoRR, 2020)

Learning with Differentiable Perturbed Optimizers. - Quentin Berthet; Mathieu Blondel; Olivier Teboul; Marco Cuturi; Jean-Philippe Vert; Francis R. Bach (CoRR, 2020)

Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. - Marco Cuturi; Olivier Teboul; Jean-Philippe Vert (CoRR, 2020)

Dive: End-to-End Speech Diarization Via Iterative Speaker Embedding. - Neil Zeghidour; Olivier Teboul; David Grangier (ASRU, 2021)

LEAF: A Learnable Frontend for Audio Classification. - Neil Zeghidour; Olivier Teboul; Félix de Chaumont Quitry; Marco Tagliasacchi (ICLR, 2021)

Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking. - Andrew N. Carr; Quentin Berthet; Mathieu Blondel; Olivier Teboul; Neil Zeghidour (IEEE Signal Process. Lett., 2021)

Learning Strides in Convolutional Neural Networks. - Rachid Riad; Olivier Teboul; David Grangier; Neil Zeghidour (ICLR, 2022)

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. - Marco Cuturi; Laetitia Meng-Papaxanthos; Yingtao Tian; Charlotte Bunne; Geoff Davis; Olivier Teboul (CoRR, 2022)

AudioLM: a Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (CoRR, 2022)

AudioLM: A Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Dominik Roblek; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. - Quentin Spinat; Benoît Audelan; Xiaotong Jiang; Bastien Caba; Alexis Benichoux; Despoina Ioannidou; Olivier Teboul; Nikos Komodakis; Willem Huijbers; Refaat Gabr; Arie Gafson; Colm Elliott; et al. (Medical Image Anal., 2025)