Selected highlight publications
- E. de Souza da Silva, T. Kuśmierczyk, M. Hartmann, and A. Klami. Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. Journal of Machine Learning Research, 24(67):1−51, 2023.
- P. Mikkola, O. A. Martin, S. Chandramouli, M. Hartmann, O. Abril Pla, O. Thomas, H. Pesonen, J. Corander, A. Vehtari, S. Kaski, P-C. Bürkner, and A. Klami. Prior knowledge elicitation: The past, present, and future. Bayesian Analysis (Advance Publication), 2023.
- M. Hartmann, M. Girolami, and A. Klami. Lagrangian manifold Monte Carlo on Monge patches. Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 151:4764-4781, 2022.
- M. Toivonen, C. Rajani, and A. Klami. Snapshot hyperspectral imaging using wide dilation networks. Machine Vision and Applications, 32(1):1-11, 2020.
- K. Longi, C. Rajani, T. Sillanpää, Joni Mäkinen, T. Rauhala, A. Salmi, E. Hæggström, and A. Klami. Sensor Placement for Spatial Gaussian Processes with Integral Observations. Proceedings of Uncertainty in Artificial Intelligence (UAI), 2020.
- M. Hartmann, G. Agiashvili, P. Bürkner, and A. Klami. Flexible Prior Elicitation via the Prior Predictive Distribution. Proceedings of Uncertainty in Artificial Intelligence (UAI), 2020.
- T. Kuśmierczyk, J. Sakaya, and A. Klami. Correcting Predictions for Approximate Bayesian Inference. Proceedings of AAAI Conference on Artificial Intelligence, 2020.
- T. Kuśmierczyk, J. Sakaya, and A. Klami. Variational Bayesian Decision-making for Continuous Utilities. Advances in Neural Information Processing Systems, 2019.
- J. Lagus, J. Sinkkonen, and A. Klami. Low-rank approximations of second-order document representations. Proceedings of the SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019.
- J. Sakaya and A. Klami. Importance Sampled Stochastic Optimization for Variational Inference. Proceedings of Uncertainty for Artificial Intelligence (UAI), 2017.
- A. Klami, S.Virtanen, E. Leppäaho and S. Kaski. Group Factor Analysis. IEEE Transactions on Neural Networks and Learning Systems, 26(9):2136-2147, 2015.
- J-P. Kauppi, M. Kandemir, V-M. Saarinen, L. Hirvenkari, L. Parkkonen, A. Klami, R. Hari and S. Kaski. Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage, 12:288-298, 2015.
- A. Klami, S. Virtanen and S. Kaski. Bayesian Canonical Correlation Analysis. Journal of Machine Learning Research, 14:965-1003, 2013.
All publications (from the University database)