Patrick Kidger

According to our database1, Patrick Kidger authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers.
CoRR, 2024

Optimistix: modular optimisation in JAX and Equinox.
CoRR, 2024

2023
Lineax: unified linear solves and linear least-squares in JAX and Equinox.
CoRR, 2023

2022
On the Choice of Interpolation Scheme for Neural CDEs.
Trans. Mach. Learn. Res., 2022

On Neural Differential Equations.
CoRR, 2022

2021
Equinox: neural networks in JAX via callable PyTrees and filtered transformations.
CoRR, 2021

Neural Controlled Differential Equations for Online Prediction Tasks.
CoRR, 2021

Neural SDEs as Infinite-Dimensional GANs.
CoRR, 2021

Efficient and Accurate Gradients for Neural SDEs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Rough Differential Equations for Long Time Series.
Proceedings of the 38th International Conference on Machine Learning, 2021

Neural SDEs as Infinite-Dimensional GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms.
Proceedings of the 38th International Conference on Machine Learning, 2021

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
"Hey, that's not an ODE": Faster ODE Adjoints with 12 Lines of Code.
CoRR, 2020

Neural CDEs for Long Time Series via the Log-ODE Method.
CoRR, 2020

A Generalised Signature Method for Time Series.
CoRR, 2020

Generalised Interpretable Shapelets for Irregular Time Series.
CoRR, 2020

Neural Controlled Differential Equations for Irregular Time Series.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Universal Approximation with Deep Narrow Networks.
Proceedings of the Conference on Learning Theory, 2020

2019
Deep Signatures.
CoRR, 2019

Deep Signature Transforms.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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