| Prior knowledge elicitation: The past, present, and future; 2021 P Mikkola, OA Martin, S Chandramouli, M Hartmann, OA Pla, O Thomas | 144* | |
| Estudo das precipitações máximas anuais em Presidente Prudente M Hartmann, FA Moala, MA Mendonça Revista Brasileira de Meteorologia 26, 561-568, 2011 | 58 | 2011 |
| Laplace approximation and the natural gradient for Gaussian process regression with the heteroscedastic Student-t model M Hartmann, J Vanhatalo Statistics and Computing 29, 753-773, 2019 | 37 | 2019 |
| Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data J Vanhatalo, M Hartmann, L Veneranta | 29* | 2020 |
| Flexible prior elicitation via the prior predictive distribution M Hartmann, G Agiashvili, P Bürkner, A Klami Conference on Uncertainty in Artificial Intelligence, 1129-1138, 2020 | 27 | 2020 |
| Lagrangian Manifold Monte Carlo on Monge Patches M Hartmann, M Girolami, A Klami Proceedings of The 25th International Conference on Artificial Intelligence …, 2022 | 13 | 2022 |
| Gaussian process framework for temporal dependence and discrepancy functions in Ricker-type population growth models M Hartmann, GR Hosack, RM Hillary, J Vanhatalo | 12 | 2017 |
| Prior specification via prior predictive matching: Poisson matrix factorization and beyond ES da Silva, T Kuśmierczyk, M Hartmann, A Klami Journal of Machine Learning Research (JMLR) arXiv preprint arXiv: 1910.12263, 2019 | 11* | 2019 |
| Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo M Hartmann, RS Ehlers Communications in Statistics-Simulation and Computation 46 (7), 5285-5302, 2017 | 10 | 2017 |
| Riemannian Laplace Approximation with the Fisher Metric H Yu, M Hartmann, B Williams, M Girolami, A Klami AISTATS 2024 (arXiv preprint arXiv:2311.02766), 2023 | 8 | 2023 |
| Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics H Yu, M Hartmann, B Williams, A Klami Transactions on Machine Learning Research (TLMR), 2023 | 7 | 2023 |
| Extending Owen's integral table and a new multivariate Bernoulli distribution M Hartmann arXiv preprint arXiv:1704.04736, 2017 | 6 | 2017 |
| Non-geodesically-convex optimization in the Wasserstein space H Phuc Hau Luu, H Yu, B Williams, P Mikkola, M Hartmann, K Puolamäki, ... arXiv e-prints, arXiv: 2406.00502, 2024 | 3* | 2024 |
| Learning geometry and topology via multi-chart flows H Yu, S Hauberg, M Hartmann, A Klami, G Arvanitidis arXiv preprint arXiv:2505.24665, 2025 | 2 | 2025 |
| A Bernoulli autoregressive moving average model applied to rainfall occurrence E Angelo Milani, M Hartmann, MG Andrade, CA Ribeiro Diniz Communications in Statistics-Simulation and Computation 48 (9), 2743-2756, 2019 | 2 | 2019 |
| Geometric no-U-Turn samplers: Concepts and evaluation B Williams, H Yu, M Hartmann, A Klami 12th International Conference on Probabilistic Graphical Models (PGM), 327-347, 2024 | 1 | 2024 |
| Transformed Gaussian Processes for Characterizing a Model's Discrepancy A Nioche, V Tanskanen, M Hartmann, A Klami Asian Conference on Machine Learning 15, 2023 | 1 | 2023 |
| Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models M Hartmann PhD thesis, University of Helsinki, 2019 | 1 | 2019 |
| Simplex-to-Euclidean Bijections for Categorical Flow Matching B Williams, VM Yeom-Song, M Hartmann, A Klami arXiv preprint arXiv:2510.27480, 2025 | | 2025 |
| Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings S Gharib, M Hartmann, A Klami arXiv preprint arXiv:2510.14666, 2025 | | 2025 |
Arto KlamiProfessor, University of HelsinkiVerified email at helsinki.fi
