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Patrick Kidger
Patrick Kidger
"ML Wizard" @ Cradle.bio
Verified email at kidger.site - Homepage
Title
Cited by
Cited by
Year
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
4532020
Universal approximation with deep narrow networks
P Kidger, T Lyons
Conference on Learning Theory, 2306-2327, 2020
3822020
On Neural Differential Equations
P Kidger
Doctoral Thesis, 2022
2142022
Neural SDEs as Infinite-Dimensional GANs
P Kidger, J Foster, X Li, H Oberhauser, T Lyons
International Conference on Machine Learning, 2021
1362021
Neural Rough Differential Equations for Long Time Series
J Morrill, C Salvi, P Kidger, J Foster, T Lyons
International Conference on Machine Learning, 2021
130*2021
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
P Kidger, T Lyons
International Conference on Learning Representations, 2021
992021
Deep signature transforms
P Kidger, P Bonnier, I Perez Arribas, C Salvi, T Lyons
Advances in Neural Information Processing Systems 32, 3105-3115, 2019
922019
A Generalised Signature Method for Multivariate Time Series Feature Extraction
J Morrill, A Fermanian, P Kidger, T Lyons
arXiv preprint arXiv:2006.00873, 2020
56*2020
Equinox: neural networks in JAX via callable PyTrees and filtered transformations
P Kidger, C Garcia
Differentiable Programming workshop, Neural Information Processing Systems 2021, 2021
552021
“Hey, that’s not an ODE”: Faster ODE Adjoints via Seminorms
P Kidger, RTQ Chen, T Lyons
International Conference on Machine Learning, 2021
52*2021
On the choice of interpolation scheme for neural CDEs
J Morrill, P Kidger, L Yang, T Lyons
Transactions on Machine Learning Research 2022 (9), 2022
47*2022
Efficient and Accurate Gradients for Neural SDEs
P Kidger, J Foster, X Li, T Lyons
Advances in Neural Information Processing Systems 34, 2021
432021
Generalised Interpretable Shapelets for Irregular Time Series
P Kidger, J Morrill, T Lyons
arXiv preprint arXiv:2005.13948, 2020
112020
Optimistix: modular optimisation in JAX and Equinox
J Rader, T Lyons, P Kidger
arXiv preprint arXiv:2402.09983, 2024
42024
Lineax: unified linear solves and linear least-squares in JAX and Equinox
JM Rader, T Lyons, P Kidger
NeurIPS 2023 AI for Science Workshop, 2023
22023
Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers
A Jelinčič, J Foster, P Kidger
arXiv preprint arXiv:2405.06464, 2024
2024
Differentiable Land Surface Modeling Using JAX
P Jiang, P Kidger, G Bisht, T Bandai, KG Pressel, CI Steefel, X Chen
AGU23, 2023
2023
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