| Graph attention networks P Velickovic, G Cucurull, A Casanova, A Romero, P Lio, Y Bengio stat 1050 (20), 10-48550, 2017 | 23151* | 2017 |
| Fitnets: Hints for thin deep nets A Romero, N Ballas, SE Kahou, A Chassang, C Gatta, Y Bengio arXiv preprint arXiv:1412.6550, 2014 | 5658 | 2014 |
| The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017 | 2062 | 2017 |
| Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 1144* | 2016 |
| fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 875 | 2018 |
| Unsupervised deep feature extraction for remote sensing image classification A Romero, C Gatta, G Camps-Valls IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1349-1362, 2015 | 815 | 2015 |
| A benchmark for endoluminal scene segmentation of colonoscopy images D Vázquez, J Bernal, FJ Sánchez, G Fernández-Esparrach, AM López, ... Journal of healthcare engineering 2017 (1), 4037190, 2017 | 600 | 2017 |
| fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ... Radiology: Artificial Intelligence 2 (1), e190007, 2020 | 367 | 2020 |
| ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation F Visin, M Ciccone, A Romero, K Kastner, K Cho, Y Bengio, M Matteucci, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 355 | 2016 |
| Learning normalized inputs for iterative estimation in medical image segmentation M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ... Medical image analysis 44, 1-13, 2018 | 273 | 2018 |
| Inverse cooking: Recipe generation from food images A Salvador, M Drozdzal, X Giró-i-Nieto, A Romero Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 177 | 2019 |
| 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 | 141 | 2020 |
| Reducing uncertainty in undersampled mri reconstruction with active acquisition Z Zhang, A Romero, MJ Muckley, P Vincent, L Yang, M Drozdzal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 137 | 2019 |
| Instance-conditioned gan A Casanova, M Careil, J Verbeek, M Drozdzal, A Romero Soriano Advances in Neural Information Processing Systems 34, 27517-27529, 2021 | 131 | 2021 |
| Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 127 | 2016 |
| GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects EJ Smith, S Fujimoto, A Romero, D Meger arXiv preprint arXiv:1901.11461, 2019 | 109 | 2019 |
| Diet Networks: Thin Parameters for Fat Genomics A Romero, PL Carrier, A Erraqabi, T Sylvain, A Auvolat, E Dejoie, ... arXiv preprint arXiv:1611.09340, 2016 | 83 | 2016 |
| Active MR k-space Sampling with Reinforcement Learning L Pineda, S Basu, A Romero, R Calandra, M Drozdzal Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 82 | 2020 |
| Parameter prediction for unseen deep architectures B Knyazev, M Drozdzal, GW Taylor, A Romero Soriano Advances in Neural Information Processing Systems 34, 29433-29448, 2021 | 78 | 2021 |
| Graph inductive biases in transformers without message passing L Ma, C Lin, D Lim, A Romero-Soriano, PK Dokania, M Coates, P Torr, ... International Conference on Machine Learning, 23321-23337, 2023 | 70 | 2023 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
