Adriana Romero-Soriano

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Arantxa CasanovaPhD student at Polytechnique Montreal - MilaVerified email at polymtl.ca
Michał DrożdżalFacebook AI ResearchVerified email at fb.com
Petar VeličkovićStaff Research Scientist, Google DeepMind | Affiliated Lecturer, University of CambridgeVerified email at deepmind.com
Guillem CucurullUniversitat Autonoma de Barcelona / Centre de Visió per ComputadorVerified email at uab.es
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeVerified email at cam.ac.uk
David VázquezServiceNow Research, ELLIS memberVerified email at servicenow.com
Gustau Camps-VallsProfessor. Fellow IEEE/ELLIS/ESF/EurASC/AE. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Nicolas BallasFacebook AI ResearchVerified email at fb.com
Samira Ebrahimi KahouAssociate Professor, École de technologie supérieure/Mila/Canada CIFAR AI ChairVerified email at etsmtl.ca
Konrad WagstylUniversity College LondonVerified email at ucl.ac.uk
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Alan Evans, PhD, FRSC, FCAHSJames McGill Prof. of Neurology, Victor Dahdaleh Chair in Neurosciences, McGill U.Verified email at mcgill.ca
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
Manuel Campos-TabernerUniversitat de ValènciaVerified email at uv.es
petia radevaFull professor, University of Barcelona, Senior Researcher, Computer Vision CenterVerified email at ub.edu
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Francesco VisinSenior Research Scientist at Google DeepMindVerified email at google.com
Kyle KastnerGoogleVerified email at google.com
Akram ErraqabiPhD Student, Mila / UdeMVerified email at umontreal.ca

Adriana Romero-Soriano

Fundamental AI Research, Meta AI

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deep learning machine learning AI


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Graph attention networks V Peter, C Guillem, C Arantxa, R Adriana, L Pietro, B Yoshua Proceedings of the International Conference on Learning Representations …, 2017	13652*	2017
Fitnets: Hints for thin deep nets R Adriana, B Nicolas, KS Ebrahimi, C Antoine, G Carlo, B Yoshua Proc. ICLR, 2015	4203*	2015
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	1778	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	1067*	2016
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	731	2015
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	549	2018
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, 2017	300	2017
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	293	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	236	2018
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	192	2020
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	131	2019
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	118	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	100	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	91	2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects EJ Smith, S Fujimoto, A Romero, D Meger arXiv preprint arXiv:1901.11461, 2019	89	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	66	2021
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	64	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	50	2020
Meta-parameter free unsupervised sparse feature learning A Romero, P Radeva, C Gatta IEEE Transactions on Pattern Analysis & Machine Intelligence, 1-1, 2014	45*	2014
Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images E Serradell, A Romero, R Leta, C Gatta, F Moreno-Noguer Computer Vision (ICCV), 2011 IEEE International Conference on, 850-857, 2011	41	2011

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