Publications

(2024). Graph Classification Gaussian Processes via Hodgelet Spectral Features. NeurIPS 2024 workshop on Bayesian Decision-making and Uncertainty.

PDF Cite

(2024). ARISGAN Extreme Super-Resolution of Arctic Surface Imagery using Generative Adversarial Networks. Frontiers in Remote Sensing.

PDF Cite

(2024). A Geometric Extension of the Ito-Wentzell and Kunita's Formulas. Stochastic Processes and their Applications.

PDF Cite

(2024). Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification. Frontiers in Remote Sensing.

PDF Cite

(2024). Scalable Data Assimilation with Message Passing. Climate Informatics.

PDF Cite

(2024). Scalable interpolation of satellite altimetry data with probabilistic machine learning. Nature Communications.

PDF Cite

(2024). Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems. Uncertainty in Artificial Intelligence (UAI).

PDF Cite

(2023). Gaussian Processes on Cellular Complexes. International Conference on Machine Learning (ICML).

PDF Cite

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

PDF Cite

(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

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

PDF Cite Code Video

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

PDF Cite Code

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

PDF Cite

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

PDF Cite

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

PDF Cite

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

PDF Cite

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

PDF Cite

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

PDF Cite

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

PDF Cite