Publications

(2023). A Geometric Extension of the Ito-Wentzell and Kunita's Formulas. Preprint.

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(2023). Gaussian Processes on Cellular Complexes. Preprint.

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(2023). Actually Sparse Variational Gaussian Processes. International Conference on Artificial Intelligence and Statistics.

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(2023). Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes. NeurIPS 2022 workshop on Tackling Climate Change with Machine Learning.

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(2022). Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation. Transactions on Machine Learning Research.

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(2021). Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. Advances in Neural Information Processing Systems (NeurIPS).

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(2021). A unifying and canonical description of measure-preserving diffusions.

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(2020). Implications of Kunita-Itô-Wentzell formula for k-forms in stochastic fluid dynamics. Journal of Nonlinear Science.

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(2020). Modelling the climate and weather of a 2D Lagrangian-averaged Euler-Boussinesq equation with transport noise. Journal of Statistical Physics.

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(2019). The Burgers equation with stochastic transport. Nonlinear Differential Equations and Applications (NoDEA).

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(2019). Irreversible Langevin MCMC on Lie groups. International Conference on Geometric Science of Information.

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(2018). Impacts of atmospheric reanalysis uncertainty on Atlantic overturning estimates at 25°N. Journal of Climate.

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(2018). Networks of coadjoint orbits. Journal of Geometric Mechanics.

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