Research output per year
Research output per year
Personal profile
Artistic and research interests
I'm co-leader of the Probabilistic Machine Learning Group at Aalto. We develop new methods for probabilistic modeling, Bayesian inference and machine learning. Our current focuses are in particular probabilistic programming, learning from multiple data sources, Bayesian model assessment and selection, approximate inference and information visualization.
Education/Academic qualification
Doctoral degree, Engineering and Technology, Helsinki University of Technology
Award Date: 17 Dec 2001
Master's degree, Engineering and Technology, Helsinki University of Technology
Award Date: 28 Oct 1997
Keywords
- Bayesian modeling
- Statistical analysis
- Epidemiology
- Brain signal analysis
- Machine learning
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Accounting for spatial dependence improves relative abundance estimates in a benthic marine species structured as a metapopulation
Cavieres, J., Monnahan, C. C. & Vehtari, A., Aug 2021, In: FISHERIES RESEARCH. 240, 10 p., 105960.Research output: Contribution to journal › Article › Scientific › peer-review
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A fast regression via SVD and marginalization
Greengard, P., Gelman, A. & Vehtari, A., 2021, (E-pub ahead of print) In: Computational Statistics.Research output: Contribution to journal › Article › Scientific › peer-review
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Implicitly Adaptive Importance Sampling
Paananen, T., Piironen, J., Burkner, P-C. & Vehtari, A., 9 Feb 2021, In: STATISTICS AND COMPUTING. 31, 2, 16.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile73 Downloads (Pure) -
lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data
Timonen, J., Mannerström, H., Vehtari, A. & Lähdesmäki, H., 1 Jul 2021, In: Bioinformatics. 37, 13, p. 1860-1867 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile11 Downloads (Pure) -
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., Mar 2021, In: Bayesian Analysis. 16, 1, p. 147-178 32 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)22 Downloads (Pure)
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Safe iterative Bayesian model building
01/09/2021 → 31/08/2025
Project: Academy of Finland: Other research funding
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WeStAc: Welfare State Analytics. Text Mining and Modeling Swedish Politics, Media & Culture, 1945-1989
01/01/2020 → 31/12/2023
Project: Other external funding: Other foreign funding
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FCAI: Finnish Center for Artificial Intelligence (FCAI)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
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FCAI: Finnish Center for Artificial Intelligence (FCAI)
Vehtari, A., Alonzo Matamoros, I. & Kallioinen, N.
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
Prizes
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2016 De Groot Prize
Vehtari, Aki (Recipient), 16 Jun 2016
Prize: Award or honor granted for a specific work
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Member of the winning team (Särkkä, Vehtari & Lampinen) in Time Series Prediction Competition - The CATS Benchmark 2004
Vehtari, Aki (Recipient), 2004
Prize: Invitation or ranking in competition
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Youden Award in Interlaboratory Testing from the American Statistical Association
Vehtari, Aki (Recipient), 2020
Prize: Award or honor granted for a specific work
Activities
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Reviewer for tenure track positions at the IT University of Copenhagen
Aki Vehtari (Reviewer)
2017Activity: Examination types › Statement of assessment of professorship
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PEERJ (Journal)
Aki Vehtari (Editor)
2017 → …Activity: Publication peer-review and editorial work types › Membership of an editorial board
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Foreign Organisation
Aki Vehtari (Visiting researcher)
7 Mar 2016 → 11 Mar 2016Activity: Visiting an external institution types › Visit abroad
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Foreign Organisation
Aki Vehtari (Visiting researcher)
22 Feb 2016 → 26 Feb 2016Activity: Visiting an external institution types › Visit abroad
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Foreign Organisation
Aki Vehtari (Visiting researcher)
11 Apr 2016 → 15 Apr 2016Activity: Visiting an external institution types › Visit abroad
Press / Media
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TOP 10 IDEAS IN STATISTICS THAT HAVE POWERED THE AI REVOLUTION
06/07/2021
2 items of Media coverage
Press/Media: Media appearance
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New method for qualifying safe drug dosing regimens in pediatrics
07/05/2021 → 01/06/2021
3 items of Media coverage
Press/Media: Media appearance
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Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction
Aki Vehtari, Pekka Marttinen, Samuel Kaski, Pedram Daee, Giulio Jacucci, Iiris Sundin, Tuukka Ruotsalo & Aki Havulinna
12/05/2021
1 item of Media coverage
Press/Media: Media appearance
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Aalto-yliopiston tutkijat kehittivät paremman tavan määrittää turvallisia lääkeannoksia lapsille
08/05/2021
1 item of Media coverage
Press/Media: Media appearance
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Researchers develop better way to determine safe drug doses for children
06/05/2021 → 07/05/2021
7 items of Media coverage
Press/Media: Media appearance