| 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 | 885 | 2020 |
| On Neural Differential Equations P Kidger Doctoral Thesis, 2022 | 673 | 2022 |
| Universal approximation with deep narrow networks P Kidger, T Lyons Conference on Learning Theory, 2306-2327, 2020 | 633 | 2020 |
| Neural SDEs as Infinite-Dimensional GANs P Kidger, J Foster, X Li, H Oberhauser, T Lyons International Conference on Machine Learning, 2021 | 271 | 2021 |
| Neural Rough Differential Equations for Long Time Series J Morrill, C Salvi, P Kidger, J Foster, T Lyons International Conference on Machine Learning, 2021 | 245 | 2021 |
| Equinox: neural networks in JAX via callable PyTrees and filtered transformations P Kidger, C Garcia Differentiable Programming workshop, Neural Information Processing Systems 2021, 2021 | 212 | 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 | 149 | 2021 |
| Deep signature transforms P Kidger, P Bonnier, I Perez Arribas, C Salvi, T Lyons Advances in Neural Information Processing Systems 32, 3105-3115, 2019 | 147 | 2019 |
| Efficient and Accurate Gradients for Neural SDEs P Kidger, J Foster, X Li, T Lyons Advances in Neural Information Processing Systems 34, 2021 | 105 | 2021 |
| “Hey, that’s not an ODE”: Faster ODE Adjoints via Seminorms P Kidger, RTQ Chen, T Lyons International Conference on Machine Learning, 2021 | 93* | 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 | 93 | 2020 |
| 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 | 82* | 2022 |
| Optimistix: modular optimisation in JAX and Equinox J Rader, T Lyons, P Kidger arXiv preprint arXiv:2402.09983, 2024 | 26 | 2024 |
| AIntibody: an experimentally validated in silico antibody discovery design challenge MF Erasmus, L Spector, F Ferrara, R DiNiro, TJ Pohl, K Perea-Schmittle, ... Nature Biotechnology 42 (11), 1637-1642, 2024 | 17 | 2024 |
| Generalised Interpretable Shapelets for Irregular Time Series P Kidger, J Morrill, T Lyons arXiv preprint arXiv:2005.13948, 2020 | 15 | 2020 |
| Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition TS Cotet, I Krawczuk, M Pacesa, L Nickel, BE Correia, N Haas, A Qamar, ... bioRxiv, 2025.04. 17.648362, 2025 | 12 | 2025 |
| Learning constitutive relations from soil moisture data via physically constrained neural networks T Bandai, TA Ghezzehei, P Jiang, P Kidger, X Chen, CI Steefel Water Resources Research 60 (7), e2024WR037318, 2024 | 12 | 2024 |
| 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 | 8 | 2023 |
| JAX‐CanVeg: A differentiable land surface model P Jiang, P Kidger, T Bandai, D Baldocchi, H Liu, Y Xiao, Q Zhang, ... Water Resources Research 61 (3), e2024WR038116, 2025 | 7 | 2025 |
| 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 | 5 | 2024 |
James MorrillPhD Student, University of OxfordVerified email at maths.ox.ac.uk
