Christopher van der Heide

According to our database, Christopher van der Heide authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Gradient-enhanced deep Gaussian processes for multifidelity modeling.

Viv Bone, Chris van der Heide, Kieran Mackle, Ingo Jahn, Peter M. Dower, Chris Manzie

J. Comput. Phys., 2025

2024

Gradient-enhanced deep Gaussian processes for multifidelity modelling.

Viv Bone, Chris van der Heide, Kieran Mackle, Ingo H. J. Jahn, Peter M. Dower, Chris Manzie

CoRR, 2024

2023

A PAC-Bayesian Perspective on the Interpolating Information Criterion.

Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney

CoRR, 2023

The Interpolating Information Criterion for Overparameterized Models.

Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney

CoRR, 2023

Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes.

Liam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney

Proceedings of the International Conference on Machine Learning, 2023

Feasibility Detection for Nested Codesign of Hypersonic Vehicles.

Chris van der Heide, Peter Cudmore, Ingo Jahn, Viv Bone, Peter M. Dower, Chris Manzie

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Stochastic continuous normalizing flows: training SDEs as ODEs.

Liam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Shadow Manifold Hamiltonian Monte Carlo.

Christopher van der Heide, Fred Roosta, Liam Hodgkinson, Dirk P. Kroese

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks.

Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Stochastic Normalizing Flows.

Liam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney

CoRR, 2020