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Publications
Selected highlight publications
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.
Recent publications (university database)