Bernardino Romera-Paredes

According to our database, Bernardino Romera-Paredes authored at least 30 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mathematical discoveries from program search with large language models.

Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi

Nat., January, 2024

Quantum Circuit Optimization with AlphaTensor.

Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli

CoRR, 2024

2023

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.

Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner

CoRR, 2023

2022

Discovering faster matrix multiplication algorithms with reinforcement learning.

Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli

Nat., 2022

2019

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.

Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger

CoRR, 2019

The U-net and its impact to medical imaging (Conference Presentation).

Bernardino Romera-Paredes

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.

Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr

IEEE Signal Process. Mag., 2018

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy.

Stanislav Nikolov, Sam Blackwell, Ruheena Mendes, Jeffrey De Fauw, Clemens Meyer, Cían Hughes, Harry Askham, Bernardino Romera-Paredes, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Kevin Sullivan, DeepMind Radiographer Consortium, Hugh Montgomery, Geraint Rees, Ricky Sharma, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger

CoRR, 2018

A Probabilistic U-Net for Segmentation of Ambiguous Images.

Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset.

Min S. H. Aung, Sebastian Kaltwang, Bernardino Romera-Paredes, Brais Martínez, Aneesha Singh, Matteo Cella, Michel F. Valstar, Hongying Meng, Andrew Kemp, Moshen Shafizadeh, Aaron C. Elkins, Natalie Kanakam, Amschel de Rothschild, Nick Tyler, Paul J. Watson, Amanda C. de C. Williams, Maja Pantic, Nadia Bianchi-Berthouze

IEEE Trans. Affect. Comput., 2016

The Benefit of Multitask Representation Learning.

Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes

J. Mach. Learn. Res., 2016

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.

Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise

F1000Research, 2016

Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization.

Shrenik Lad, Bernardino Romera-Paredes, Julien P. C. Valentin, Philip H. S. Torr, Devi Parikh

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Recurrent Instance Segmentation.

Bernardino Romera-Paredes, Philip Hilaire Sean Torr

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives.

Harry J. Griffin, Min S. Hane Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown, William Curran, Nadia Bianchi-Berthouze

IEEE Trans. Affect. Comput., 2015

An embarrassingly simple approach to zero-shot learning.

Bernardino Romera-Paredes, Philip H. S. Torr

Proceedings of the 32nd International Conference on Machine Learning, 2015

Conditional Random Fields as Recurrent Neural Networks.

Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Prototypical Priors: From Improving Classification to Zero-Shot Learning.

Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Multitask and transfer learning for multi-aspect data.

Bernardino Romera-Paredes

PhD thesis, 2014

Facial expression tracking from head-mounted, partially observing cameras.

Bernardino Romera-Paredes, Cha Zhang, Zhengyou Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning.

Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective.

Min S. H. Aung, Bernardino Romera-Paredes, Aneesha Singh, S. Lim, Natalie Kanakam, Amanda C. de C. Williams, Nadia Bianchi-Berthouze

Proceedings of the 14th International Workshop on Image Analysis for Multimedia Interactive Services, 2013

A New Convex Relaxation for Tensor Completion.

Bernardino Romera-Paredes, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multilinear Multitask Learning.

Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze, Massimiliano Pontil

Proceedings of the 30th International Conference on Machine Learning, 2013

Sparse coding for multitask and transfer learning.

Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes

Proceedings of the 30th International Conference on Machine Learning, 2013

Transfer learning to account for idiosyncrasy in face and body expressions.

Bernardino Romera-Paredes, Min S. H. Aung, Massimiliano Pontil, Nadia Bianchi-Berthouze, Amanda C. de C. Williams, Paul J. Watson

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition.

Bernardino Romera-Paredes, Min S. H. Aung, Nadia Bianchi-Berthouze

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Laughter Type Recognition from Whole Body Motion.

Harry J. Griffin, Min S. H. Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown, William Curran, Nadia Bianchi-Berthouze

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

Exploiting Unrelated Tasks in Multi-Task Learning.

Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Emotion recognition by two view SVM_2K classifier on dynamic facial expression features.

Hongying Meng, Bernardino Romera-Paredes, Nadia Bianchi-Berthouze

Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011