Publications

Selected highlight publications

• 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.
• A. Klami, J. Lagus, and J. Sakaya. Lambert matrix factorization. Proceedings of European Conference on Machine Learning (ECML), 2018.
• C. Rajani, A. Klami, A. Salmi, T. Rauhala, E. Haeggström, and P. Myllymäki. Detecting Industrial Fouling by Monotonicity during Ultrasonic Cleaning. Proceedings of IEEE Workshop on Machine Learning for Signal Processing (MLSP), 2018.
• 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.