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Journal Articles
- 2021
[j1]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
:
Utilizing graph machine learning within drug discovery and development. Briefings Bioinform. 22(6) (2021)
Conference and Workshop Papers
- 2022
- [c4]Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió:
Attentional Meta-learners for Few-shot Polythetic Classification. ICML 2022: 4867-4889 - 2021
- [c3]Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò:
Neural ODE Processes. ICLR 2021 - 2020
- [c2]Cristian Bodnar, Ben Day, Pietro Lió:
Proximal Distilled Evolutionary Reinforcement Learning. AAAI 2020: 3283-3290 - [c1]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió:
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS 2020
Informal and Other Publications
- 2021
- [i14]Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò:
Neural ODE Processes. CoRR abs/2103.12413 (2021) - [i13]Ben Day, Alexander Norcliffe, Jacob Moss, Pietro Liò:
Meta-learning using privileged information for dynamics. CoRR abs/2104.14290 (2021) - [i12]Ben Day, Ramón Viñas, Nikola Simidjievski, Pietro Liò:
Attentional meta-learners are polythetic classifiers. CoRR abs/2106.05317 (2021) - [i11]Pavol Drotár, Arian Rokkum Jamasb, Ben Day, Catalina Cangea, Pietro Liò:
Structure-aware generation of drug-like molecules. CoRR abs/2111.04107 (2021) - 2020
- [i10]Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Liò:
On Second Order Behaviour in Augmented Neural ODEs. CoRR abs/2006.07220 (2020) - [i9]Vasileios Karavias, Ben Day, Pietro Liò:
Uncertainty in Neural Relational Inference Trajectory Reconstruction. CoRR abs/2006.13666 (2020) - [i8]Ben Day, Catalina Cangea, Arian R. Jamasb, Pietro Liò:
Message Passing Neural Processes. CoRR abs/2009.13895 (2020) - [i7]Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò:
The Role of Isomorphism Classes in Multi-Relational Datasets. CoRR abs/2009.14593 (2020) - [i6]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:
Utilising Graph Machine Learning within Drug Discovery and Development. CoRR abs/2012.05716 (2020) - 2019
- [i5]Enxhell Luzhnica, Ben Day, Pietro Liò:
Clique pooling for graph classification. CoRR abs/1904.00374 (2019) - [i4]Enxhell Luzhnica, Ben Day, Pietro Liò:
On Graph Classification Networks, Datasets and Baselines. CoRR abs/1905.04682 (2019) - [i3]Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió:
Factorised Neural Relational Inference for Multi-Interaction Systems. CoRR abs/1905.08721 (2019) - [i2]Cristian Bodnar, Ben Day, Pietro Liò:
Proximal Distilled Evolutionary Reinforcement Learning. CoRR abs/1906.09807 (2019) - 2018
- [i1]Conor Sheehan, Ben Day, Pietro Liò:
Introducing Curvature to the Label Space. CoRR abs/1810.09549 (2018)
Coauthor Index
aka: Pietro Lió
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