Stochastic Normalizing Flows. - Liam Hodgkinson; Christopher van der Heide; Fred Roosta; Michael W. Mahoney (CoRR, 2020)

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. - Russell Tsuchida; Tim Pearce; Christopher van der Heide; Fred Roosta; Marcus Gallagher (AAAI, 2021)

Shadow Manifold Hamiltonian Monte Carlo. - Christopher van der Heide; Fred Roosta; Liam Hodgkinson; Dirk P. Kroese (AISTATS, 2021)

Stochastic continuous normalizing flows: training SDEs as ODEs. - Liam Hodgkinson; Christopher van der Heide; Fred Roosta; Michael W. Mahoney (UAI, 2021)

Feasibility Detection for Nested Codesign of Hypersonic Vehicles. - Chris van der Heide; Peter Cudmore; Ingo Jahn; Viv Bone; Peter M. Dower; Chris Manzie (CDC, 2023)

Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes. - Liam Hodgkinson; Christopher van der Heide; Fred Roosta; Michael W. Mahoney (ICML, 2023)

The Interpolating Information Criterion for Overparameterized Models. - Liam Hodgkinson; Christopher van der Heide; Robert Salomone; Fred Roosta; Michael W. Mahoney (CoRR, 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)

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)

Temperature Optimization for Bayesian Deep Learning. - Kenyon Ng; Chris van der Heide; Liam Hodgkinson; Susan Wei (UAI, 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)

Uncertainty Quantification with the Empirical Neural Tangent Kernel. - Joseph Wilson; Chris van der Heide; Liam Hodgkinson; Fred Roosta (CoRR, 2025)

Determinant Estimation under Memory Constraints and Neural Scaling Laws. - Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Fred Roosta; Michael W. Mahoney (CoRR, 2025)

Spectral Estimation with Free Decompression. - Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Michael W. Mahoney (CoRR, 2025)