Publications

Aythami Bethencourt de León, So Takao (2024). A Geometric Extension of the Ito-Wentzell and Kunita's Formulas. Stochastic Processes and their Applications.

PDF Cite

Oscar Key, So Takao, Daniel Giles, Marc Deisenroth (2024). Scalable Data Assimilation with Message Passing. Preprint.

PDF Cite

William Gregory, Ronald MacEachern, So Takao, Isobel Lawrence, Carmen Nab, Marc Deisenroth, Michel Tsamados (2024). Scalable interpolation of satellite altimetry data with probabilistic machine learning. Preprint.

PDF Cite

Rafael Anderka, Marc Deisenroth, So Takao (2024). Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems. Preprint.

PDF Cite

Oliver Street, So Takao (2023). Semimargingale driven mechanics and reduction by symmetry for stochastic and dissipative dynamical systems. Preprint.

PDF Cite

Mathieu Alain, So Takao, Brooks Paige, Marc Deisenroth (2023). Gaussian Processes on Cellular Complexes. Preprint.

PDF Cite

Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Deisenroth (2023). Actually Sparse Variational Gaussian Processes. International Conference on Artificial Intelligence and Statistics.

PDF Cite

Sean Nassimiha, Peter Dudfield, Jack Kelly, Marc Deisenroth, So Takao (2023). Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes. NeurIPS 2022 workshop on Tackling Climate Change with Machine Learning.

PDF Cite

Aythami Bethencourt de León, So Takao (2022). Transport noise restores uniqueness and prevents blow-up in geometric transport equations. Preprint.

PDF Cite

Sanket Kamthe, So Takao, Shakir Mohamed, Marc P. Deisenroth (2022). Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation. Transactions on Machine Learning Research.

PDF Cite Code Video

Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc P. Deisenroth (2021). Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. Advances in Neural Information Processing Systems (NeurIPS).

PDF Cite Code

Alessandro Barp, So Takao, Michael Betancourt, Alexis Arnaudon, Mark Girolami (2021). A unifying and canonical description of measure-preserving diffusions.

PDF Cite

So Takao (2020). Stochastic geometric mechanics for fluid modelling and MCMC. Imperial College London.

PDF Cite

Aythami Bethencourt de León, Darryl D Holm, Erwin Luesink, So Takao (2020). Implications of Kunita-Itô-Wentzell formula for k-forms in stochastic fluid dynamics. Journal of Nonlinear Science.

PDF Cite

Diego Alonso-Orán, Aythami Bethencourt de León, Darryl D Holm, So Takao (2020). Modelling the climate and weather of a 2D Lagrangian-averaged Euler-Boussinesq equation with transport noise. Journal of Statistical Physics.

PDF Cite

Diego Alonso-Orán, Aythami Bethencourt de León, So Takao (2019). The Burgers equation with stochastic transport. Nonlinear Differential Equations and Applications (NoDEA).

PDF Cite

Alexis Arnaudon, Alessandro Barp, So Takao (2019). Irreversible Langevin MCMC on Lie groups. International Conference on Geometric Science of Information.

PDF Cite

Helen R Pillar, Helen L Johnson, David P Marshall, Patrick Heimbach, So Takao (2018). Impacts of atmospheric reanalysis uncertainty on Atlantic overturning estimates at 25°N. Journal of Climate.

PDF Cite

Alexis Arnaudon, So Takao (2018). Networks of coadjoint orbits. Journal of Geometric Mechanics.

PDF Cite