| Stochastic Normalizing Flows L Hodgkinson, C van der Heide, F Roosta, MW Mahoney arXiv preprint arXiv:2002.09547, 2020 | 27 | 2020 |
| Stochastic continuous normalizing flows: training SDEs as ODEs L Hodgkinson, C van der Heide, F Roosta, MW Mahoney Uncertainty in Artificial Intelligence, 1130-1140, 2021 | 11 | 2021 |
| The Interpolating Information Criterion for Overparameterized Models L Hodgkinson, C van der Heide, R Salomone, F Roosta, MW Mahoney arXiv preprint arXiv:2307.07785, 2023 | 9 | 2023 |
| Shadow Manifold Hamiltonian Monte Carlo C van der Heide, F Roosta, L Hodgkinson, D Kroese International Conference on Artificial Intelligence and Statistics, 1477-1485, 2021 | 9 | 2021 |
| Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes L Hodgkinson, C Van Der Heide, F Roosta, MW Mahoney International Conference on Machine Learning, 13085-13117, 2023 | 7 | 2023 |
| Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks R Tsuchida, T Pearce, C van der Heide, F Roosta, M Gallagher Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9967-9977, 2021 | 7 | 2021 |
| Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory K Mackle, A Lock, I Jahn, C van der Heide AIAA SCITECH 2024 Forum, 0238, 2024 | 2 | 2024 |
| Feasibility detection for nested codesign of hypersonic vehicles C van der Heide, P Cudmore, I Jahn, V Bone, PM Dower, C Manzie 2023 62nd IEEE Conference on Decision and Control (CDC), 632-637, 2023 | 2 | 2023 |
| Partial continuity for nonlinear systems with nonstandard growth and discontinuous coefficients C van der Heide arXiv preprint arXiv:1711.01389, 2017 | 2 | 2017 |
| Gradient-enhanced deep Gaussian processes for multifidelity modeling V Bone, C van der Heide, K Mackle, I Jahn, PM Dower, C Manzie Journal of Computational Physics 520, 113474, 2025 | | 2025 |
| Temperature Optimization for Bayesian Deep Learning K Ng, C van der Heide, L Hodgkinson, S Wei arXiv preprint arXiv:2410.05757, 2024 | | 2024 |
| A PAC-Bayesian Perspective on the Interpolating Information Criterion L Hodgkinson, C van der Heide, R Salomone, F Roosta, M Mahoney NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | | 2023 |
