Marcelo Hartmann

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Arto KlamiAssociate Professor, University of HelsinkiVerified email at cs.helsinki.fi
Petrus MikkolaUniversity of HelsinkiVerified email at helsinki.fi
Jarno VanhataloAssociate professor, University of HelsinkiVerified email at helsinki.fi
Paul-Christian BürknerFull Professor of Computational Statistics, TU Dortmund UniversityVerified email at tu-dortmund.de
Oriol Abril-PlaVerified email at pymc-devs.org
Suyog H. ChandramouliPrinceton UniversityVerified email at princeton.edu
Aki VehtariProfessor, Aalto UniversityVerified email at aalto.fi
Osvaldo MartinPyMC-Labs. UNSAMVerified email at unsl.edu.ar
Jukka CoranderUiO, Wellcome Sanger Institute, University of HelsinkiVerified email at medisin.uio.no
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
Bernardo WilliamsPhD Computer Science, University of HelsinkiVerified email at helsinki.fi
Henri PesonenResearcher, Oslo Centre for Biostatistics and Epidemiology (OCBE), Oslo University HospitalVerified email at medisin.uio.no
Owen ThomasUniversity of OsloVerified email at medisin.uio.no
Marco A. M. de MendoncaUniversity of New BrunswickVerified email at unb.ca
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Eliezer de Souza da SilvaSchool of Applied Mathematics, Getulio Vargas Foundation (EMAP / FGV)Verified email at fgv.br
Ricardo S EhlersUniversidade de Sao PauloVerified email at icmc.usp.br
Tomasz KuśmierczykUniversity of HelsinkiVerified email at helsinki.fi
Geoffrey R HosackCSIROVerified email at csiro.au
Eder Angelo MilaniProfessor de Estatística, UFGVerified email at ufg.br

Marcelo Hartmann

University of Helsinki

Verified email at helsinki.fi - Homepage

Bayesian Statistics Gaussian process models Quantitative ecology Machine-learning data-centric engineering


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Prior knowledge elicitation: The past, present, and future; 2021 P Mikkola, OA Martin, S Chandramouli, M Hartmann, OA Pla, O Thomas	62*
Estudo das precipitações máximas anuais em Presidente Prudente M Hartmann, FA Moala, MA Mendonça Revista Brasileira de Meteorologia 26, 561-568, 2011	54	2011
Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data J Vanhatalo, M Hartmann, L Veneranta	25*	2020
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	21	2019
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	17	2020
Lagrangian Manifold Monte Carlo on Monge Patches M Hartmann, M Girolami, A Klami Proceedings of The 25th International Conference on Artificial Intelligence …, 2022	11	2022
Gaussian process framework for temporal dependence and discrepancy functions in Ricker-type population growth models M Hartmann, GR Hosack, RM Hillary, J Vanhatalo	10	2017
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
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	7*	2019
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	3	2019
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	2	2023
Extending Owen's integral table and a new multivariate Bernoulli distribution M Hartmann arXiv preprint arXiv:1704.04736, 2017	2	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	1	2023
Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models M Hartmann Helsingin yliopisto, 2019	1	2019
Geometric No-U-Turn Samplers: Concepts and Evaluation B Williams, H Yu, M Hartmann, A Klami International Conference on Probabilistic Graphical Models, 327-347, 2024		2024
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		2024
Approximate natural gradient in Gaussian processes with non-log-concave likelihoods M Hartmann ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024		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		2023
Warped geometric information on the optimisation of Euclidean functions M Hartmann, B Williams, H Yu, M Girolami, A Barp, A Klami arXiv preprint arXiv:2308.08305, 2023		2023
Probabilistic Predictive Elicitation G Agiashvili, M Hartmann Helsingin yliopisto, 2021		2021

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