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Bernardino Romera-Paredes
Bernardino Romera-Paredes
Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
231822021
Conditional random fields as recurrent neural networks
S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ...
Proceedings of the IEEE international conference on computer vision, 1529-1537, 2015
31772015
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342-1350, 2018
23032018
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
22842020
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
20982021
An embarrassingly simple approach to zero-shot learning
B Romera-Paredes, P Torr
International conference on machine learning, 2152-2161, 2015
14372015
A probabilistic u-net for segmentation of ambiguous images
S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in neural information processing systems 31, 2018
5662018
Discovering faster matrix multiplication algorithms with reinforcement learning
A Fawzi, M Balog, A Huang, T Hubert, B Romera-Paredes, M Barekatain, ...
Nature 610 (7930), 47-53, 2022
4792022
Recurrent instance segmentation
B Romera-Paredes, PHS Torr
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
4002016
The benefit of multitask representation learning
A Maurer, M Pontil, B Romera-Paredes
Journal of Machine Learning Research 17 (81), 1-32, 2016
3872016
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ...
arXiv preprint arXiv:1809.04430, 2018
3222018
Applying and improving AlphaFold at CASP14
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021
2832021
Sparse coding for multitask and transfer learning
A Maurer, M Pontil, B Romera-Paredes
International conference on machine learning, 343-351, 2013
2152013
The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset
MSH Aung, S Kaltwang, B Romera-Paredes, B Martinez, A Singh, M Cella, ...
IEEE transactions on affective computing 7 (4), 435-451, 2015
2062015
A new convex relaxation for tensor completion
B Romera-Paredes, M Pontil
Advances in neural information processing systems 26, 2013
2012013
Multilinear multitask learning
B Romera-Paredes, H Aung, N Bianchi-Berthouze, M Pontil
International Conference on Machine Learning, 1444-1452, 2013
1912013
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
1662018
Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study
S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ...
Journal of medical Internet research 23 (7), e26151, 2021
1602021
High accuracy protein structure prediction using deep learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth critical assessment of techniques for protein structure …, 2020
1542020
Exploiting unrelated tasks in multi-task learning
BR Paredes, A Argyriou, N Berthouze, M Pontil
Artificial intelligence and statistics, 951-959, 2012
1452012
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Articles 1–20