| Graph attention networks P Veličković, G Cucurull, A Casanova, A Romero, P Lio, Y Bengio arXiv preprint arXiv:1710.10903, 2017 | 24305* | 2017 |
| Llama 2: Open Foundation and Fine-Tuned Chat Models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 10195 | 2023 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 1091 | 2024 |
| Galactica: A large language model for science R Taylor, M Kardas, G Cucurull, T Scialom, A Hartshorn, E Saravia, ... arXiv preprint arXiv:2211.09085, 2022 | 654 | 2022 |
| Deep pain: Exploiting long short-term memory networks for facial expression classification P Rodriguez, G Cucurull, J Gonzàlez, JM Gonfaus, K Nasrollahi, ... IEEE transactions on cybernetics, 2017 | 324 | 2017 |
| Regularizing cnns with locally constrained decorrelations P Rodríguez, J Gonzalez, G Cucurull, JM Gonfaus, X Roca arXiv preprint arXiv:1611.01967, 2016 | 160 | 2016 |
| BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... PLoS biology 18 (4), e3000678, 2020 | 147 | 2020 |
| Context-aware visual compatibility prediction G Cucurull, P Taslakian, D Vazquez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 133 | 2019 |
| Age and gender recognition in the wild with deep attention P Rodríguez, G Cucurull, JM Gonfaus, FX Roca, J Gonzalez Pattern Recognition 72, 563-571, 2017 | 126 | 2017 |
| Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition P Rodriguez, D Velazquez, G Cucurull, JM Gonfaus, EX Roca, J Gonzalez IEEE TRANSACTIONS ON MULTIMEDIA 22 (2), 502-514, 2020 | 93 | 2020 |
| Nougat: Neural Optical Understanding for Academic Documents L Blecher, G Cucurull, T Scialom, R Stojnic arXiv preprint arXiv:2308.13418, 2023 | 73 | 2023 |
| Attend and rectify: a gated attention mechanism for fine-grained recovery P Rodríguez, JM Gonfaus, G Cucurull, F XavierRoca, J Gonzalez Proceedings of the European Conference on Computer Vision (ECCV), 349-364, 2018 | 53 | 2018 |
| Convolutional neural networks for mesh-based parcellation of the cerebral cortex G Cucurull, K Wagstyl, A Casanova, P Veličković, E Jakobsen, ... | 44 | 2018 |
| On the iterative refinement of densely connected representation levels for semantic segmentation A Casanova, G Cucurull, M Drozdzal, A Romero, Y Bengio Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 27 | 2018 |
| Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks G Cucurull, P Rodríguez, VO Yazici, JM Gonfaus, FX Roca, J Gonzàlez arXiv preprint arXiv:1802.06757, 2018 | 11 | 2018 |
| Automated segmentation of cortical layers in BigBrain reveals divergent cortical and laminar thickness gradients in sensory and motor cortices K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... bioRxiv, 580597, 2019 | 8 | 2019 |
| A Painless Attention Mechanism for Convolutional Neural Networks P Rodríguez, G Cucurull, J Gonzàlez, JM Gonfaus, X Roca | 8 | 2018 |
| WC1N 3AR K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... | | |
