Ben Day

According to our database, Ben Day authored at least 16 papers between 2018 and 2022.

Collaborative distances:

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

2022

Attentional Meta-learners for Few-shot Polythetic Classification.

Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió

Proceedings of the International Conference on Machine Learning, 2022

2021

Structure-aware generation of drug-like molecules.

Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Catalina Cangea, Pietro Liò

CoRR, 2021

Attentional meta-learners are polythetic classifiers.

Ben Day, Ramón Viñas, Nikola Simidjievski, Pietro Liò

CoRR, 2021

Meta-learning using privileged information for dynamics.

Ben Day, Alexander Norcliffe, Jacob Moss, Pietro Liò

CoRR, 2021

Utilizing graph machine learning within drug discovery and development.

Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King

Briefings Bioinform., 2021

Neural ODE Processes.

Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Utilising Graph Machine Learning within Drug Discovery and Development.

Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King

CoRR, 2020

The Role of Isomorphism Classes in Multi-Relational Datasets.

Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò

CoRR, 2020

Message Passing Neural Processes.

Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò

CoRR, 2020

Uncertainty in Neural Relational Inference Trajectory Reconstruction.

Vasileios Karavias, Ben Day, Pietro Liò

CoRR, 2020

On Second Order Behaviour in Augmented Neural ODEs.

Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proximal Distilled Evolutionary Reinforcement Learning.

Cristian Bodnar, Ben Day, Pietro Lió

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Factorised Neural Relational Inference for Multi-Interaction Systems.

Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió

CoRR, 2019

On Graph Classification Networks, Datasets and Baselines.

Enxhell Luzhnica, Ben Day, Pietro Liò

CoRR, 2019

Clique pooling for graph classification.

Enxhell Luzhnica, Ben Day, Pietro Liò

CoRR, 2019

2018

Introducing Curvature to the Label Space.

Conor Sheehan, Ben Day, Pietro Liò

CoRR, 2018