Stochastic Normalizing Flows L Hodgkinson, C van der Heide, F Roosta, MW Mahoney arXiv preprint arXiv:2002.09547, 2020 | 22 | 2020 |
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 |
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks R Tsuchida, T Pearce, C van der Heide, F Roosta, M Gallagher arXiv preprint arXiv:2002.08517, 2020 | 4 | 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 | 2 | 2021 |
Partial continuity for nonlinear systems with nonstandard growth and discontinuous coefficients C van der Heide arXiv preprint arXiv:1711.01389, 2017 | 2 | 2017 |
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes L Hodgkinson, C van der Heide, F Roosta, MW Mahoney arXiv preprint arXiv:2210.07612, 2022 | | 2022 |