Sotabase

Career

· Chief Technology Officer, Hiverge2024–
· Research Scientist, Google DeepMind2016–2024
· Postdoctoral Research Assistant, University of Oxford2014–2016
· Research Intern, Microsoft Research2013–2013
· PhD, University College London2010–2014
· MSc, Computational Statistics and Machine Learning, UCL2009–2010
· Computer Engineering, Universidad de Murcia2004–2009

Publications (39)

Highly accurate protein structure prediction with AlphaFold
Nature · 2021
32,840
cited
Conditional Random Fields as Recurrent Neural Networks
IEEE International Conference on Computer Vision · 2015
2,576
cited
International evaluation of an AI system for breast cancer screening
Nature · 2020
2,423
cited
Highly accurate protein structure prediction for the human proteome
Nature · 2021
2,344
cited
Clinically applicable deep learning for diagnosis and referral in retinal disease
Nature Medicine · 2018
2,237
cited
An embarrassingly simple approach to zero-shot learning
International Conference on Machine Learning · 2015
1,314
cited
Mathematical discoveries from program search with large language models
Nature · 2023
656
cited
A Probabilistic U-Net for Segmentation of Ambiguous Images
Neural Information Processing Systems · 2018
654
cited
Discovering faster matrix multiplication algorithms with reinforcement learning
Nature · 2022
623
cited
The Benefit of Multitask Representation Learning
Journal of machine learning research · 2015
402
cited
Recurrent Instance Segmentation
European Conference on Computer Vision · 2015
334
cited
Applying and improving AlphaFold at CASP14
Proteins: Structure, Function, and Bioinformatics · 2021
323
cited
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
arXiv.org · 2018
322
cited
Sparse coding for multitask and transfer learning
International Conference on Machine Learning · 2012
192
cited
A New Convex Relaxation for Tensor Completion
Neural Information Processing Systems · 2013
188
cited
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset
IEEE Transactions on Affective Computing · 2016
185
cited
Multilinear Multitask Learning
International Conference on Machine Learning · 2013
171
cited
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction
IEEE Signal Processing Magazine · 2018
130
cited
Exploiting Unrelated Tasks in Multi-Task Learning
International Conference on Artificial Intelligence and Statistics · 2012
130
cited
Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer.
Radiotherapy and Oncology · 2019
108
cited
Sotabase
Bernardino Romera-Paredes | Researcher Profile | Sotabase | Sotabase