Bernardino Romera-Paredes

41 papers A* 5A 3B 5Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated near-term quantum algorithm discovery for molecular ground states. CoRR Fabian Finger, Frederic Rapp, Pranav Kalidindi, Kerry He, Kante Yin, Alexander Koziell-Pipe, David Zsolt Manrique, Gabriel Greene-Diniz, Stephen Clark, Hamza Fawzi, Bernardino Romera-Paredes, Alhussein Fawzi, Konstantinos Meichanetzidis
2025	J	`jnl`	Quantum circuit optimization with AlphaTensor. Nat. Mac. Intell. 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
2024	A*	`conf`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. IJCAI 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
2024	J	`jnl`	Mathematical discoveries from program search with large language models. Nat. 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
2024	J	`jnl`	Quantum Circuit Optimization with AlphaTensor. CoRR 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
2023	J	`jnl`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR 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
2022	J	`jnl`	Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 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
2019	J	`jnl`	A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger
2019	—	`conf`	The U-net and its impact to medical imaging (Conference Presentation). Computer-Aided Diagnosis Bernardino Romera-Paredes
2018	A*	`conf`	A Probabilistic U-Net for Segmentation of Ambiguous Images. NeurIPS 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
2018	J	`jnl`	A Probabilistic U-Net for Segmentation of Ambiguous Images. CoRR Simon A. A. 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
2018	J	`jnl`	Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
2018	J	`jnl`	Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. CoRR 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
2016	J	`jnl`	Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. F1000Research 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
2016	B	`conf`	Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization. ICIP Shrenik Lad, Bernardino Romera-Paredes, Julien P. C. Valentin, Philip H. S. Torr, Devi Parikh
2016	—	`conf`	Recurrent Instance Segmentation. ECCV (6) Bernardino Romera-Paredes, Philip Hilaire Sean Torr
2016	J	`jnl`	The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. IEEE Trans. Affect. Comput. 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
2016	J	`jnl`	The Benefit of Multitask Representation Learning. J. Mach. Learn. Res. Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2015	A*	`conf`	An embarrassingly simple approach to zero-shot learning. ICML Bernardino Romera-Paredes, Philip H. S. Torr
2015	A*	`conf`	Conditional Random Fields as Recurrent Neural Networks. ICCV Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
2015	J	`jnl`	Conditional Random Fields as Recurrent Neural Networks. CoRR Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
2015	J	`jnl`	Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives. IEEE Trans. Affect. Comput. Harry J. Griffin, Min S. Hane Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown, William Curran, Nadia Bianchi-Berthouze
2015	A	`conf`	Prototypical Priors: From Improving Classification to Zero-Shot Learning. BMVC Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr
2015	J	`jnl`	Prototypical Priors: From Improving Classification to Zero-Shot Learning. CoRR Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr
2015	J	`jnl`	Recurrent Instance Segmentation. CoRR Bernardino Romera-Paredes, Philip H. S. Torr
2015	J	`jnl`	The Benefit of Multitask Representation Learning. CoRR Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2014	A*	`conf`	An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. COLT Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2014	J	`jnl`	An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. CoRR Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2014	A	`conf`	Facial expression tracking from head-mounted, partially observing cameras. ICME Bernardino Romera-Paredes, Cha Zhang, Zhengyou Zhang
2014	—	`—`	Multitask and transfer learning for multi-aspect data. Bernardino Romera-Paredes
2013	—	`conf`	A New Convex Relaxation for Tensor Completion. NIPS Bernardino Romera-Paredes, Massimiliano Pontil
2013	J	`jnl`	A New Convex Relaxation for Tensor Completion. CoRR Bernardino Romera-Paredes, Massimiliano Pontil
2013	B	`conf`	A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition. ESANN Bernardino Romera-Paredes, Min S. H. Aung, Nadia Bianchi-Berthouze
2013	—	`conf`	Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective. WIAMIS Min S. H. Aung, Bernardino Romera-Paredes, Aneesha Singh, S. Lim, Natalie Kanakam, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
2013	B	`conf`	Laughter Type Recognition from Whole Body Motion. ACII Harry J. Griffin, Min S. H. Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown, William Curran, Nadia Bianchi-Berthouze
2013	—	`conf`	Multilinear Multitask Learning. ICML (3) Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze, Massimiliano Pontil
2013	—	`conf`	Sparse coding for multitask and transfer learning. ICML (2) Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2013	B	`conf`	Transfer learning to account for idiosyncrasy in face and body expressions. FG Bernardino Romera-Paredes, Min S. H. Aung, Massimiliano Pontil, Nadia Bianchi-Berthouze, Amanda C. de C. Williams, Paul J. Watson
2012	A	`conf`	Exploiting Unrelated Tasks in Multi-Task Learning. AISTATS Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil
2012	J	`jnl`	Sparse coding for multitask and transfer learning CoRR Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
2011	B	`conf`	Emotion recognition by two view SVM_2K classifier on dynamic facial expression features. FG Hongying Meng, Bernardino Romera-Paredes, Nadia Bianchi-Berthouze