Alexander Norcliffe

According to our database, Alexander Norcliffe authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Stochastic Encodings for Active Feature Acquisition.

Alexander Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio

CoRR, August, 2025

2023

Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression.

Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy

Trans. Mach. Learn. Res., 2023

Faster Training of Neural ODEs Using Gauß-Legendre Quadrature.

Alexander Luke Ian Norcliffe, Marc Peter Deisenroth

Trans. Mach. Learn. Res., 2023

Fourier Neural Differential Equations for learning Quantum Field Theories.

Isaac Brant, Alexander Norcliffe, Pietro Liò

CoRR, 2023

Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models.

Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy

CoRR, 2023

SurvivalGAN: Generating Time-to-Event Data for Survival Analysis.

Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Feynman Diagrams using Graph Neural Networks.

Harrison Mitchell, Alexander Norcliffe, Pietro Liò

CoRR, 2022

Composite Feature Selection Using Deep Ensembles.

Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Meta-learning using privileged information for dynamics.

Ben Day, Alexander Norcliffe, Jacob Moss, Pietro Liò

CoRR, 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

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