Olivier Teboul

According to our database, Olivier Teboul authored at least 24 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

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

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

Learning Strides in Convolutional Neural Networks.

Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

LEAF: A Learnable Frontend for Audio Classification.

Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry, Marco Tagliasacchi

Proceedings of the 9th International Conference on Learning Representations, 2021

Dive: End-to-End Speech Diarization Via Iterative Speaker Embedding.

Neil Zeghidour, Olivier Teboul, David Grangier

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design.

Marco Cuturi, Olivier Teboul, 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

Supervised Quantile Normalization for Low-rank Matrix Approximation.

Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert

CoRR, 2020

Learning with Differentiable Pertubed Optimizers.

Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Supervised Quantile Normalization for Low Rank Matrix Factorization.

Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert

Proceedings of the 37th International Conference on Machine Learning, 2020

Fast Differentiable Sorting and Ranking.

Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

MULEX: Disentangling Exploitation from Exploration in Deep RL.

Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin

CoRR, 2019

Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator.

Marco Cuturi, Olivier Teboul, Jean-Philippe Vert

CoRR, 2019

Differentiable Ranking and Sorting using Optimal Transport.

Marco Cuturi, Olivier Teboul, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2013

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

2012

Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences.

Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

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

Shape grammar parsing via Reinforcement Learning.

Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs.

Chaohui Wang, Olivier Teboul, Fabrice Michel, Salma Essafi, Nikos Paragios

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Segmentation of building facades using procedural shape priors.

Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Single view reconstruction using shape grammars for urban environments.

Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2007

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, Benoit Delatour, Thierry Delzescaux

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007