Kidger, Patrick

11 publications

NeurIPS 2025 AlgoTune: Can Language Models Speed up General-Purpose Numerical Programs? Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Pérez-Piñeiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press

NeurIPSW 2023 Lineax: Unified Linear Solves and Linear Least-Squares in JAX and Equinox Jason Michael Rader, Terry Lyons, Patrick Kidger

TMLR 2022 On the Choice of Interpolation Scheme for Neural CDEs James Morrill, Patrick Kidger, Lingyi Yang, Terry Lyons

ICML 2021 "Hey, That’s Not an ODE": Faster ODE Adjoints via Seminorms Patrick Kidger, Ricky T. Q. Chen, Terry J Lyons

NeurIPS 2021 Efficient and Accurate Gradients for Neural SDEs Patrick Kidger, James Foster, Xuechen Li, Terry Lyons

ICML 2021 Neural Rough Differential Equations for Long Time Series James Morrill, Cristopher Salvi, Patrick Kidger, James Foster

ICML 2021 Neural SDEs as Infinite-Dimensional GANs Patrick Kidger, James Foster, Xuechen Li, Terry J Lyons

ICLR 2021 Signatory: Differentiable Computations of the Signature and Logsignature Transforms, on Both CPU and GPU Patrick Kidger, Terry Lyons

NeurIPS 2020 Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger, James Morrill, James Foster, Terry Lyons

COLT 2020 Universal Approximation with Deep Narrow Networks Patrick Kidger, Terry Lyons

NeurIPS 2019 Deep Signature Transforms Patrick Kidger, Patric Bonnier, Imanol Perez Arribas, Cristopher Salvi, Terry Lyons