Samuel Kaski

Professor, Centre of Excellence in Computational Inference, COIN
Professor, Professorship Kaski S.
Professor, Helsinki Institute for Information Technology HIIT
Professor, Probabilistic Machine Learning
Professor, Finnish Center for Artificial Intelligence
Professor, Department of Computer Science
Academy Professor, Department of Computer Science

Phone+358503058694

Aalto SCI Computer Science Konemiehentie 2

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Artistic and research interests

I work on probabilistic machine learning, meaning probabilistic modelling and Bayesian inference, applied to difficult problems that are interesting and societally important. At the moment I work on the inter-related topics of analysis of multiple data sources, human-in-the-loop machine learning, simulator-based inference (likelihood-free inference with ABC), and privacy-preserving learning. I have had the chance to collaborate with amazing people in interdisciplinary research projects on applications in biology and medicine, brain signal analysis and user interaction (see list of publications), and in the Aalto Probabilistic Machine Learning Group which I lead with Prof. Aki Vehtari, and the Finnish Center of Excellence in Computational Inference Research which I lead until end of 2017.

To further boost the already strong artificial intelligence research and its impact, we are setting up a new Finnish Artificial Intelligence Center FCAI, which I will lead 2018-. It is a partnership of Aalto University, University of Helsinki, and a number of company members, networking further to key international and national partners. We aim to solve three bottleneck questions in AI research: data scarcity, dependability of AI, and ability of AI to understand its users (more details here). The research will be done with company partners, including new startups and spin-offs, which will take the results directly to use. We will also pay special attention to AI education.

Education/Academic qualification

Doctor of Science (Technology)

Master of Science (Technology)

Keywords

machine learning
probabilistic modelling
artificial intelligence
bioinformatics
computational medicine
user interaction
brain signal analysis

Fingerprint Dive into the research topics where Samuel Kaski is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

6 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

175 Conference contribution
127 Article
45 Working paper
14 Chapter
30 More

Deep Convolutional Gaussian Processes

Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). SPRINGER , p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Human Strategic Steering Improves Performance of Interactive Optimization

Colella, F., Daee, P., Jokinen, J., Oulasvirta, A. & Kaski, S., 13 May 2020, (Accepted/In press) Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization: UMAP 2020. 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access

Learning spectrograms with convolutional spectral kernels

Shen, Z., Heinonen, M. & Kaski, S., 2020, (Accepted/In press) The 23rd International Conference on Artificial Intelligence and Statistic. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Likelihood-Free Inference with Deep Gaussian Processes

Aushev, A., Pesonen, H., Heinonen, M., Corander, J. & Kaski, S., 18 Jun 2020, (Submitted).

Research output: Contribution to conference › Paper › Scientific

Plasmids shaped the recent emergence of the major nosocomial pathogen Enterococcus faecium

Arredondo-Alonso, S., Top, J., McNally, A., Puranen, S., Pesonen, M., Pensar, J., Marttinen, P., Braat, J., Rogers, M., van Schaik, W., Kaski, S., Willems, R. J. L., Corander, J. & Schürch, A., 2020, In : MBIO. 11, 1, e03284-19.

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access

File