Emotion recognition by two view SVM_2K classifier on dynamic facial expression features. - Hongying Meng; Bernardino Romera-Paredes; Nadia Bianchi-Berthouze (FG, 2011)

Exploiting Unrelated Tasks in Multi-Task Learning. - Bernardino Romera-Paredes; Andreas Argyriou; Nadia Berthouze; Massimiliano Pontil (AISTATS, 2012)

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 (ACII, 2013)

A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition. - Bernardino Romera-Paredes; Min S. H. Aung; Nadia Bianchi-Berthouze (ESANN, 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 (FG, 2013)

Sparse coding for multitask and transfer learning. - Andreas Maurer; Massimiliano Pontil; Bernardino Romera-Paredes (ICML (2), 2013)

Multilinear Multitask Learning. - Bernardino Romera-Paredes; Hane Aung; Nadia Bianchi-Berthouze; Massimiliano Pontil (ICML (3), 2013)

A New Convex Relaxation for Tensor Completion. - Bernardino Romera-Paredes; Massimiliano Pontil (NIPS, 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 (WIAMIS, 2013)

An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. - Andreas Maurer; Massimiliano Pontil; Bernardino Romera-Paredes (COLT, 2014)

Facial expression tracking from head-mounted, partially observing cameras. - Bernardino Romera-Paredes; Cha Zhang; Zhengyou Zhang (ICME, 2014)

Multitask and transfer learning for multi-aspect data. - Bernardino Romera-Paredes (2014)

Prototypical Priors: From Improving Classification to Zero-Shot Learning. - Saumya Jetley; Bernardino Romera-Paredes; Sadeep Jayasumana; Philip H. S. Torr (BMVC, 2015)

Conditional Random Fields as Recurrent Neural Networks. - Shuai Zheng 001; Sadeep Jayasumana; Bernardino Romera-Paredes; Vibhav Vineet; Zhizhong Su; Dalong Du; Chang Huang; Philip H. S. Torr (ICCV, 2015)

An embarrassingly simple approach to zero-shot learning. - Bernardino Romera-Paredes; Philip H. S. Torr (ICML, 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)

Recurrent Instance Segmentation. - Bernardino Romera-Paredes; Philip Hilaire Sean Torr (ECCV (6), 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 (ICIP, 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 001; Rosalind Raine; Kevin Sullivan; Syed Ali Moinuddin; et al. (F1000Research, 2016)

The Benefit of Multitask Representation Learning. - Andreas Maurer; Massimiliano Pontil; Bernardino Romera-Paredes (J. Mach. Learn. Res., 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; et al. (IEEE Trans. Affect. Comput., 2016)

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 (NeurIPS, 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; et al. (CoRR, 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 001; Sadeep Jayasumana; Bernardino Romera-Paredes; Måns Larsson; Alexander Kirillov; Bogdan Savchynskyy; Carsten Rother; Fredrik Kahl; Philip H. S. Torr (IEEE Signal Process. Mag., 2018)

The U-net and its impact to medical imaging (Conference Presentation). - Bernardino Romera-Paredes (Computer-Aided Diagnosis, 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)

Discovering faster matrix multiplication algorithms with reinforcement learning. - Alhussein Fawzi; Matej Balog; Aja Huang; Thomas Hubert; Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Francisco J. R. Ruiz; Julian Schrittwieser; Grzegorz Swirszcz; David Silver; Demis Hassabis; et al. (Nat., 2022)

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; et al. (IJCAI, 2024)

Mathematical discoveries from program search with large language models. - Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Matej Balog; M. Pawan Kumar; Emilien Dupont; Francisco J. R. Ruiz; Jordan S. Ellenberg; Pengming Wang 001; Omar Fawzi; Pushmeet Kohli; Alhussein Fawzi (Nat., 2024)

Quantum circuit optimization with AlphaTensor. - Francisco J. R. Ruiz; Tuomas Laakkonen; Johannes Bausch; Matej Balog; Mohammadamin Barekatain; Francisco J. H. Heras; Alexander Novikov 001; Nathan Fitzpatrick; Bernardino Romera-Paredes; John van de Wetering; Alhussein Fawzi; Konstantinos Meichanetzidis; et al. (Nat. Mac. Intell., 2025)