| Scalable bayesian learning for state space models using variational inference with smc samplers M Hirt, P Dellaportas The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 12 | 2019 |
| Entropy-based adaptive Hamiltonian Monte Carlo M Hirt, M Titsias, P Dellaportas Advances in Neural Information Processing Systems 34, 2021 | 4 | 2021 |
| Copula-like Variational Inference M Hirt, P Dellaportas, A Durmus Advances in Neural Information Processing Systems, 2955-2967, 2019 | 4 | 2019 |
| Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data G Ballarin, P Dellaportas, L Grigoryeva, M Hirt, S van Huellen, JP Ortega arXiv preprint arXiv:2211.00363, 2022 | 2 | 2022 |
| A Bayesian framework for genome-wide inference of DNA methylation levels M Hirt, A Finke, A Beskos, P Dellaportas, S Beck, I Moghul, S Ecker arXiv preprint arXiv:2211.07311, 2022 | | 2022 |
| Zinsderivate in Multi-Curve-Modellen M Hirt | | 2014 |
| Threshold models and extreme dependence M Hirt | | 2011 |
