Παρακολούθηση
Ben Day
Ben Day
PhD, University of Cambridge
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cl.cam.ac.uk
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Παρατίθεται από
Παρατίθεται από
Έτος
Utilizing graph machine learning within drug discovery and development
T Gaudelet, B Day, AR Jamasb, J Soman, C Regep, G Liu, JBR Hayter, ...
Briefings in bioinformatics 22 (6), bbab159, 2021
3462021
On Second Order Behaviour in Augmented Neural ODEs
A Norcliffe, C Bodnar, B Day, N Simidjievski, P Liò
Advances in Neural Information Processing Systems 33, 5911--5921, 2020
1052020
Proximal distilled evolutionary reinforcement learning
C Bodnar, B Day, P Lió
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3283-3290, 2020
792020
Neural ode processes
A Norcliffe, C Bodnar, B Day, J Moss, P Liò
arXiv preprint arXiv:2103.12413, 2021
782021
Clique pooling for graph classification
E Luzhnica, B Day, P Lio
arXiv preprint arXiv:1904.00374, 2019
452019
Factorised neural relational inference for multi-interaction systems
E Webb, B Day, H Andres-Terre, P Lió
arXiv preprint arXiv:1905.08721, 2019
322019
Structure-aware generation of drug-like molecules
P Drotár, AR Jamasb, B Day, C Cangea, P Liò
arXiv preprint arXiv:2111.04107, 2021
262021
On graph classification networks, datasets and baselines
E Luzhnica, B Day, P Liò
arXiv preprint arXiv:1905.04682, 2019
242019
Deep learning for protein–protein interaction site prediction
AR Jamasb, B Day, C Cangea, P Liò, TL Blundell
Proteomics data analysis, 263-288, 2021
202021
Message passing neural processes
B Day, C Cangea, AR Jamasb, P Liò
arXiv preprint arXiv:2009.13895, 2020
62020
Factorised neural relational inference for multi-interaction systems. arXiv preprints
E Webb, B Day, H Andres-Terre, P Lió
arXiv preprint arXiv:1905.08721, 2019
62019
Message passing neural processes
C Cangea, B Day, AR Jamasb, P Lio
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
52022
On second order behaviour in augmented neural ODEs: A short summary
ALI Norcliffe, C Bodnar, B Day, N Simidjievski, P Lio
The Symbiosis of Deep Learning and Differential Equations, 2021
52021
Meta-learning using privileged information for dynamics
B Day, A Norcliffe, J Moss, P Liò
arXiv preprint arXiv:2104.14290, 2021
42021
Fdl: Mission support challenge
LF Simões, B Day, VM Shreenath, C Wilson, C Bridges, S Kaczmarek, ...
arXiv preprint arXiv:1912.09279, 2019
22019
Attentional Meta-learners for Few-shot Polythetic Classification
BJ Day, RV Torné, N Simidjievski, P Lio
International Conference on Machine Learning, 4867-4889, 2022
12022
Learning from History: Scoring & Automating Spacecraft Constellation Schedules
LF Simões, B Day, VM Shreenath, C Wilson, CP Bridges, S Kaczmarek, ...
SpaceOps 2021, 2021
12021
Neural ODE Processes: A Short Summary
ALI Norcliffe, C Bodnar, B Day, J Moss, P Lio
The Symbiosis of Deep Learning and Differential Equations, 2021
12021
Attentional meta-learners are polythetic classifiers.
B Day, R Viñas, N Simidjievski, P Liò
CoRR, 2021
12021
The Role of Isomorphism Classes in Multi-Relational Datasets
V Wichitwechkarn, B Day, C Bodnar, M Wales, P Liò
arXiv preprint arXiv:2009.14593, 2020
12020
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