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Alexander Norcliffe
Alexander Norcliffe
University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
On second order behaviour in augmented neural odes
A Norcliffe, C Bodnar, B Day, N Simidjievski, P Liò
Advances in Neural Information Processing Systems 34, 2020
842020
Neural ODE processes
A Norcliffe*, C Bodnar*, B Day*, J Moss*, P Liò
International Conference on Learning Representations, 2021
642021
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
A Norcliffe*, B Cebere*, F Imrie, P Lio, M van der Schaar
International Conference on Artificial Intelligence and Statistics, 10279-10304, 2023
72023
Composite Feature Selection using Deep Ensembles
F Imrie*, A Norcliffe*, P Lio, M van der Schaar
Advances in Neural Information Processing Systems 36, 2022
72022
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
62021
Meta-learning using privileged information for dynamics
B Day, A Norcliffe, J Moss, P Liò
Learning to Learn Workshop ICLR 2021, 2021
42021
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
A Norcliffe, L Proleev, D Mincu, FL Hartsell, K Heller, S Roy
Transactions on Machine Learning Research 2023, 2023
12023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature
A Norcliffe, MP Deisenroth
Transactions on Machine Learning Research, 2023
12023
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
Fourier Neural Differential Equations for learning Quantum Field Theories
I Brant, A Norcliffe, P Liò
arXiv preprint arXiv:2311.17250, 2023
2023
Learning Feynman Diagrams using Graph Neural Networks
H Mitchell, A Norcliffe, P Liò
Workshop on Machine Learning and the Physical Sciences NeurIPS 2022, 2022
2022
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