So Takao

According to our database, So Takao authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Variational Flow Maps: Make Some Noise for One-Step Conditional Generation.

Abbas Mammadov, So Takao, Bohan Chen, Ricardo Baptista, Morteza Mardani, Yee Whye Teh, Julius Berner

CoRR, March, 2026

2025

DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants.

Martin Andrae, Erik Larsson, So Takao, Tomas Landelius, Fredrik Lindsten

CoRR, December, 2025

Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation.

Taos Transue, Bohan Chen, So Takao, Bao Wang

CoRR, August, 2025

Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations.

Mathieu Alain, So Takao, Xiaowen Dong, Bastian Rieck, Emmanuel Noutahi

CoRR, May, 2025

Deep Random Features for Scalable Interpolation of Spatiotemporal Data.

Weibin Chen, Azhir Mahmood, Michel Tsamados, So Takao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Graph Classification Gaussian Processes via Hodgelet Spectral Features.

Mathieu Alain, So Takao, Xiaowen Dong, Bastian Rieck, Emmanuel Noutahi

CoRR, 2024

Scalable Data Assimilation with Message Passing.

Oscar Key, So Takao, Daniel Giles, Marc Peter Deisenroth

CoRR, 2024

Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems.

Rafael Anderka, Marc Peter Deisenroth, So Takao

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Gaussian Processes on Cellular Complexes.

Mathieu Alain, So Takao, Brooks Paige, Marc Peter Deisenroth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes.

Sean Nassimiha, Peter Dudfield, Jack Kelly, Marc Peter Deisenroth, So Takao

CoRR, 2023

Actually Sparse Variational Gaussian Processes.

Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Peter Deisenroth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation.

Sanket Kamthe, So Takao, Shakir Mohamed, Marc Peter Deisenroth

Trans. Mach. Learn. Res., 2022

2021

Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels.

Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

CoRR, 2021

Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels.

Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Implications of Kunita-Itô-Wentzell Formula for k-Forms in Stochastic Fluid Dynamics.

Aythami Bethencourt de Léon, Darryl D. Holm, Erwin Luesink, So Takao

J. Nonlinear Sci., 2020

2019

Irreversible Langevin MCMC on Lie Groups.

Alexis Arnaudon, Alessandro Barp, So Takao

Proceedings of the Geometric Science of Information - 4th International Conference, 2019