| Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in neural information processing systems 35, 23716-23736, 2022 | 4056 | 2022 |
| Demystifying MMD GANs M Bińkowski, DJ Sutherland, M Arbel, A Gretton 6th International Conference on Learning Representations, 2018 | 1765 | 2018 |
| High fidelity speech synthesis with adversarial networks M Bińkowski, J Donahue, S Dieleman, A Clark, E Elsen, N Casagrande, ... 8th International Conference on Learning Representations, 2019 | 312 | 2019 |
| End-to-end adversarial text-to-speech J Donahue, S Dieleman, M Bińkowski, E Elsen, K Simonyan arXiv preprint arXiv:2006.03575, 2020 | 232 | 2020 |
| Autoregressive convolutional neural networks for asynchronous time series M Bińkowski, G Marti, P Donnat Proceedings of the 35th International Conference on Machine Learning 80, 580-589, 2017 | 210 | 2017 |
| A review of two decades of correlations, hierarchies, networks and clustering in financial markets G Marti, F Nielsen, M Bińkowski, P Donnat Progress in information geometry: Theory and applications, 245-274, 2021 | 180 | 2021 |
| On gradient regularizers for MMD GANs M Arbel, DJ Sutherland, M Bińkowski, A Gretton Advances in neural information processing systems 31, 2018 | 110 | 2018 |
| Step-unrolled denoising autoencoders for text generation N Savinov, J Chung, M Binkowski, E Elsen, A Oord arXiv preprint arXiv:2112.06749, 2021 | 107 | 2021 |
| Flamingo: a visual language model for few-shot learning, 2022 JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... URL https://arxiv. org/abs/2204.14198 16, 2020 | 52 | 2020 |
| Demystifying mmd gans. arXiv 2018 M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 1801 | 30 | 1801 |
| Flamingo: A visual language model for few-shot learning. arXiv 2022 JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... arXiv preprint arXiv:2204.14198, 0 | 29 | |
| Demystifying mmd gans (2018) M Bińkowski, DJ Sutherland, M Arbel, A Gretton arXiv preprint arXiv:1801.01401, 1801 | 16 | 1801 |
| Batch Weight for Domain Adaptation With Mass Shift M Bińkowski, RD Hjelm, A Courville The IEEE International Conference on Computer Vision (ICCV), 1844-1853, 2019 | 13 | 2019 |
| High fidelity speech synthesis with adversarial networks. arXiv 2019 M Binkowski, J Donahue, S Dieleman, A Clark, E Elsen, N Casagrande, ... arXiv preprint arXiv:1909.11646, 0 | 7 | |
| Adversarial text-to-speech for low-resource languages A Elneima, M Bińkowski Proceedings of the Seventh Arabic Natural Language Processing Workshop …, 2022 | 6 | 2022 |
| Endogenous Dynamics of Intraday Liquidity. M Bińkowski, CA Lehalle Journal of Portfolio Management 48 (6), 2022 | 5* | 2022 |
| High fidelity speech synthesis with adversarial networks M Binkowski, K Simonyan, J Donahue, A Clark, SEL Dieleman, EK Elsen, ... US Patent App. 17/032,578, 2021 | 5 | 2021 |
| Flamingo: a visual language model for few-shot learning. CoRR, abs/2204.14198, 2022. doi: 10.48550 JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... arXiv preprint arXiv.2204.14198 10, 0 | 5 | |
| Flamingo: a visual language model for few-shot learning. arXiv preprint. 2022 JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Source:〈 https://arxiv. org/abs/2204.14198, 0 | 5 | |
| Generating audio data using unaligned text inputs with an adversarial network J Donahue, K Simonyan, SEL Dieleman, M Binkowski, EK Elsen US Patent App. 17/339,834, 2021 | 4 | 2021 |
Michael ArbelInria - Univ. Grenoble AlpesE-mail confirmado em inria.fr
