| Audiolm: a language modeling approach to audio generation Z Borsos, R Marinier, D Vincent, E Kharitonov, O Pietquin, M Sharifi, ... IEEE/ACM transactions on audio, speech, and language processing 31, 2523-2533, 2023 | 515 | 2023 |
| Learning with differentiable pertubed optimizers Q Berthet, M Blondel, O Teboul, M Cuturi, JP Vert, F Bach Advances in neural information processing systems 33, 9508-9519, 2020 | 248 | 2020 |
| Fast differentiable sorting and ranking M Blondel, O Teboul, Q Berthet, J Djolonga International Conference on Machine Learning, 950-959, 2020 | 241 | 2020 |
| Segmentation of building facades using procedural shape priors O Teboul, L Simon, P Koutsourakis, N Paragios 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 234 | 2010 |
| Shape grammar parsing via reinforcement learning O Teboul, I Kokkinos, L Simon, P Koutsourakis, N Paragios CVPR 2011, 2273-2280, 2011 | 188 | 2011 |
| Differentiable ranking and sorting using optimal transport M Cuturi, O Teboul, JP Vert Advances in neural information processing systems 32, 2019 | 183 | 2019 |
| LEAF: A learnable frontend for audio classification N Zeghidour, O Teboul, FDC Quitry, M Tagliasacchi arXiv preprint arXiv:2101.08596, 2021 | 175 | 2021 |
| Single view reconstruction using shape grammars for urban environments P Koutsourakis, L Simon, O Teboul, G Tziritas, N Paragios 2009 IEEE 12th international conference on computer vision, 1795-1802, 2009 | 110 | 2009 |
| Parsing facades with shape grammars and reinforcement learning O Teboul, I Kokkinos, L Simon, P Koutsourakis, N Paragios IEEE transactions on pattern analysis and machine intelligence 35 (7), 1744-1756, 2012 | 89 | 2012 |
| Optimal transport tools (ott): A jax toolbox for all things wasserstein M Cuturi, L Meng-Papaxanthos, Y Tian, C Bunne, G Davis, O Teboul arXiv preprint arXiv:2201.12324, 2022 | 78 | 2022 |
| Learning strides in convolutional neural networks R Riad, O Teboul, D Grangier, N Zeghidour arXiv preprint arXiv:2202.01653, 2022 | 61 | 2022 |
| 3D knowledge-based segmentation using pose-invariant higher-order graphs C Wang, O Teboul, F Michel, S Essafi, N Paragios Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 57 | 2010 |
| Deep embedding and alignment of protein sequences F Llinares-López, Q Berthet, M Blondel, O Teboul, JP Vert Nature Methods 20 (1), 104-111, 2023 | 47 | 2023 |
| Random exploration of the procedural space for single-view 3d modeling of buildings L Simon, O Teboul, P Koutsourakis, N Paragios International journal of computer vision 93 (2), 253-271, 2011 | 45 | 2011 |
| Ecole centrale paris facades database O Teboul | 35 | 2010 |
| Parameter-free/pareto-driven procedural 3d reconstruction of buildings from ground-level sequences L Simon, O Teboul, P Koutsourakis, L Van Gool, N Paragios 2012 IEEE Conference on Computer Vision and Pattern Recognition, 518-525, 2012 | 29 | 2012 |
| Self-supervised learning of audio representations from permutations with differentiable ranking AN Carr, Q Berthet, M Blondel, O Teboul, N Zeghidour IEEE Signal Processing Letters 28, 708-712, 2021 | 26 | 2021 |
| Noisy adaptive group testing using Bayesian sequential experimental design M Cuturi, O Teboul, Q Berthet, A Doucet, JP Vert arXiv preprint arXiv:2004.12508, 2020 | 23 | 2020 |
| Shape grammar parsing: Application to image-based modeling O Teboul Ecole Centrale Paris, 2011 | 21 | 2011 |
| Mulex: Disentangling exploitation from exploration in deep rl L Beyer, D Vincent, O Teboul, S Gelly, M Geist, O Pietquin arXiv preprint arXiv:1907.00868, 2019 | 16 | 2019 |
