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Patrick Kidger
Patrick Kidger
Postgraduate Research Student, University of Oxford
Verified email at kidger.site - Homepage
Title
Cited by
Cited by
Year
Universal approximation with deep narrow networks
P Kidger, T Lyons
Conference on Learning Theory, 2306-2327, 2020
1222020
Neural Controlled Differential Equations for Irregular Time Series
P Kidger, J Morrill, J Foster, T Lyons
Advances in Neural Information Processing Systems 33, 6696--6707, 2020
1202020
Deep signature transforms
P Kidger, P Bonnier, I Perez Arribas, C Salvi, T Lyons
Advances in Neural Information Processing Systems 32, 3105-3115, 2019
652019
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
P Kidger, T Lyons
International Conference on Learning Representations, 2021
462021
Neural Rough Differential Equations for Long Time Series
J Morrill, C Salvi, P Kidger, J Foster, T Lyons
International Conference on Machine Learning, 2021
31*2021
Neural SDEs as Infinite-Dimensional GANs
P Kidger, J Foster, X Li, H Oberhauser, T Lyons
International Conference on Machine Learning, 2021
21*2021
A Generalised Signature Method for Multivariate Time Series Feature Extraction
J Morrill, A Fermanian, P Kidger, T Lyons
arXiv preprint arXiv:2006.00873, 2020
18*2020
“Hey, that’s not an ODE”: Faster ODE Adjoints via Seminorms
P Kidger, RTQ Chen, T Lyons
International Conference on Machine Learning, 2021
16*2021
Neural Controlled Differential Equations for Online Prediction Tasks
J Morrill, P Kidger, L Yang, T Lyons
arXiv preprint arXiv:2106.11028, 2021
52021
Generalised Interpretable Shapelets for Irregular Time Series
P Kidger, J Morrill, T Lyons
arXiv preprint arXiv:2005.13948, 2020
52020
Efficient and Accurate Gradients for Neural SDEs
P Kidger, J Foster, X Li, T Lyons
Advances in Neural Information Processing Systems 34, 2021
42021
On Neural Differential Equations
P Kidger
Doctoral Thesis, 2022
12022
Equinox: neural networks in JAX via callable PyTrees and filtered transformations
P Kidger, C Garcia
Differentiable Programming workshop, Neural Information Processing Systems 2021, 2021
2021
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