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Bernardino Romera-Paredes
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2020 – today
- 2024
- [j6]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
:
Mathematical discoveries from program search with large language models. Nat. 625(7995): 468-475 (2024) - [i13]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:
Quantum Circuit Optimization with AlphaTensor. CoRR abs/2402.14396 (2024) - 2023
- [i12]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:
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR abs/2311.03583 (2023) - 2022
- [j5]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
:
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610(7930): 47-53 (2022)
2010 – 2019
- 2019
- [c18]Bernardino Romera-Paredes:
The U-net and its impact to medical imaging (Conference Presentation). Medical Imaging: Computer-Aided Diagnosis 2019: 109501G - [i11]Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR abs/1905.13077 (2019) - 2018
- [j4]Anurag Arnab, Shuai Zheng
, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr:
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35(1): 37-52 (2018) - [c17]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:
A Probabilistic U-Net for Segmentation of Ambiguous Images. NeurIPS 2018: 6965-6975 - [i10]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:
A Probabilistic U-Net for Segmentation of Ambiguous Images. CoRR abs/1806.05034 (2018) - [i9]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:
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. CoRR abs/1809.04430 (2018) - 2016
- [j3]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
The Benefit of Multitask Representation Learning. J. Mach. Learn. Res. 17: 81:1-81:32 (2016) - [j2]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
:
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. IEEE Trans. Affect. Comput. 7(4): 435-451 (2016) - [c16]Bernardino Romera-Paredes, Philip Hilaire Sean Torr:
Recurrent Instance Segmentation. ECCV (6) 2016: 312-329 - [c15]Shrenik Lad, Bernardino Romera-Paredes, Julien P. C. Valentin, Philip H. S. Torr, Devi Parikh:
Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization. ICIP 2016: 4463-4467 - [i8]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:
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. F1000Research 5: 2104 (2016) - 2015
- [j1]Harry J. Griffin, Min S. Hane Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown
, William Curran, Nadia Bianchi-Berthouze
:
Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives. IEEE Trans. Affect. Comput. 6(2): 165-178 (2015) - [c14]Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr:
Prototypical Priors: From Improving Classification to Zero-Shot Learning. BMVC 2015: 120.1-120.12 - [c13]Shuai Zheng
, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr:
Conditional Random Fields as Recurrent Neural Networks. ICCV 2015: 1529-1537 - [c12]Bernardino Romera-Paredes, Philip H. S. Torr:
An embarrassingly simple approach to zero-shot learning. ICML 2015: 2152-2161 - [i7]Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr:
Conditional Random Fields as Recurrent Neural Networks. CoRR abs/1502.03240 (2015) - [i6]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
The Benefit of Multitask Representation Learning. CoRR abs/1505.06279 (2015) - [i5]Bernardino Romera-Paredes, Philip H. S. Torr:
Recurrent Instance Segmentation. CoRR abs/1511.08250 (2015) - [i4]Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr:
Prototypical Priors: From Improving Classification to Zero-Shot Learning. CoRR abs/1512.01192 (2015) - 2014
- [b1]Bernardino Romera-Paredes:
Multitask and transfer learning for multi-aspect data. University College London, UK, 2014 - [c11]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. COLT 2014: 440-460 - [c10]Bernardino Romera-Paredes, Cha Zhang, Zhengyou Zhang:
Facial expression tracking from head-mounted, partially observing cameras. ICME 2014: 1-6 - [i3]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. CoRR abs/1402.1864 (2014) - 2013
- [c9]Harry J. Griffin, Min S. H. Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown
, William Curran, Nadia Bianchi-Berthouze
:
Laughter Type Recognition from Whole Body Motion. ACII 2013: 349-355 - [c8]Bernardino Romera-Paredes, Min S. H. Aung, Nadia Bianchi-Berthouze:
A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition. ESANN 2013 - [c7]Bernardino Romera-Paredes, Min S. H. Aung, Massimiliano Pontil, Nadia Bianchi-Berthouze
, Amanda C. de C. Williams, Paul J. Watson:
Transfer learning to account for idiosyncrasy in face and body expressions. FG 2013: 1-6 - [c6]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
Sparse coding for multitask and transfer learning. ICML (2) 2013: 343-351 - [c5]Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze, Massimiliano Pontil:
Multilinear Multitask Learning. ICML (3) 2013: 1444-1452 - [c4]Bernardino Romera-Paredes, Massimiliano Pontil:
A New Convex Relaxation for Tensor Completion. NIPS 2013: 2967-2975 - [c3]Min S. H. Aung, Bernardino Romera-Paredes, Aneesha Singh
, S. Lim, Natalie Kanakam
, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
:
Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective. WIAMIS 2013: 1-4 - [i2]Bernardino Romera-Paredes, Massimiliano Pontil:
A New Convex Relaxation for Tensor Completion. CoRR abs/1307.4653 (2013) - 2012
- [c2]Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil:
Exploiting Unrelated Tasks in Multi-Task Learning. AISTATS 2012: 951-959 - [i1]Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes:
Sparse coding for multitask and transfer learning. CoRR abs/1209.0738 (2012) - 2011
- [c1]Hongying Meng
, Bernardino Romera-Paredes, Nadia Bianchi-Berthouze
:
Emotion recognition by two view SVM_2K classifier on dynamic facial expression features. FG 2011: 854-859
Coauthor Index
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last updated on 2024-08-14 22:13 CEST by the dblp team
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