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2020 – today
- 2023
[j4]Zalán Borsos
, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matthew Sharifi, Dominik Roblek, Olivier Teboul, David Grangier, Marco Tagliasacchi, Neil Zeghidour:
AudioLM: A Language Modeling Approach to Audio Generation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2523-2533 (2023)- 2022
- [c13]Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour:
Learning Strides in Convolutional Neural Networks. ICLR 2022 - [i12]Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul:
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. CoRR abs/2201.12324 (2022) - [i11]Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour:
Learning strides in convolutional neural networks. CoRR abs/2202.01653 (2022) - [i10]Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matthew Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, Neil Zeghidour:
AudioLM: a Language Modeling Approach to Audio Generation. CoRR abs/2209.03143 (2022) - 2021
- [j3]Andrew N. Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour:
Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking. IEEE Signal Process. Lett. 28: 708-712 (2021) - [c12]Neil Zeghidour, Olivier Teboul, David Grangier:
Dive: End-to-End Speech Diarization Via Iterative Speaker Embedding. ASRU 2021: 702-709 - [c11]Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry, Marco Tagliasacchi:
LEAF: A Learnable Frontend for Audio Classification. ICLR 2021 - [i9]Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry, Marco Tagliasacchi:
LEAF: A Learnable Frontend for Audio Classification. CoRR abs/2101.08596 (2021) - [i8]Andrew N. Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour:
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking. CoRR abs/2103.09879 (2021) - [i7]Neil Zeghidour, Olivier Teboul, David Grangier:
DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding. CoRR abs/2105.13802 (2021) - 2020
- [c10]Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga:
Fast Differentiable Sorting and Ranking. ICML 2020: 950-959 - [c9]Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low Rank Matrix Factorization. ICML 2020: 2269-2279 - [c8]Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Pertubed Optimizers. NeurIPS 2020 - [i6]Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert:
Supervised Quantile Normalization for Low-rank Matrix Approximation. CoRR abs/2002.03229 (2020) - [i5]Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach:
Learning with Differentiable Perturbed Optimizers. CoRR abs/2002.08676 (2020) - [i4]Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga:
Fast Differentiable Sorting and Ranking. CoRR abs/2002.08871 (2020) - [i3]Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. CoRR abs/2004.12508 (2020)
2010 – 2019
- 2019
- [c7]Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Ranking and Sorting using Optimal Transport. NeurIPS 2019: 6858-6868 - [i2]Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. CoRR abs/1905.11885 (2019) - [i1]Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin:
MULEX: Disentangling Exploitation from Exploration in Deep RL. CoRR abs/1907.00868 (2019) - 2013
- [j2]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Parsing Facades with Shape Grammars and Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1744-1756 (2013) - 2012
- [c6]Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Luc Van Gool, Nikos Paragios:
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences. CVPR 2012: 518-525 - 2011
- [j1]Loïc Simon, Olivier Teboul, Panagiotis Koutsourakis, Nikos Paragios:
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings. Int. J. Comput. Vis. 93(2): 253-271 (2011) - [c5]Olivier Teboul, Iasonas Kokkinos, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Shape grammar parsing via Reinforcement Learning. CVPR 2011: 2273-2280 - 2010
- [c4]Olivier Teboul, Loïc Simon, Panagiotis Koutsourakis, Nikos Paragios:
Segmentation of building facades using procedural shape priors. CVPR 2010: 3105-3112 - [c3]Chaohui Wang, Olivier Teboul, Fabrice Michel, Salma Essafi, Nikos Paragios:
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs. MICCAI (3) 2010: 189-196
2000 – 2009
- 2009
- [c2]Panagiotis Koutsourakis, Loïc Simon, Olivier Teboul, Georgios Tziritas, Nikos Paragios:
Single view reconstruction using shape grammars for urban environments. ICCV 2009: 1795-1802 - 2007
- [c1]Abdelmonem Feki, Olivier Teboul, Albertine Dubois, Bruno Bozon, Alexis Faure, Philippe Hantraye, Marc Dhenain, Benoît Delatour, Thierry Delzescaux:
Fully Automated and Adaptive Detection of Amyloid Plaques in Stained Brain Sections of Alzheimer Transgenic Mice. MICCAI (2) 2007: 960-968
Coauthor Index
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