Aki Vehtari
ELLIS Institute
Academy Professor
T313 Dept. Computer Science
I work on the integration of computer science and Bayesian statistics, making fundamental contributions Bayesian workflow, probabilistic programming, inference methods such as Laplace, EP, VB, MC, inference and model diagnostics, model assessment and selection, Gaussian processes, and hierarchical models. I'm the leader of the .
Full researcher profile
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aki.vehtari@aalto.fi
Puhelinnumero
+358405333747
Osaamisalueet
Bayesian computational modeling, Bayesian workflow
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- Computer Science Professors, Academy Professor
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area, Academy Professor
- Probabilistic Machine Learning, Academy Professor
- Professorship Vehtari Aki, Academy Professor
- Computer Science RA - Machine learning, Data science and AI, Academy Professor
Julkaisut
Andrew Gelman, Aki Vehtari, Richard McElreath, Daniel Simpson, Charles Margossian, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Burkner, Martin Modrak, Vianey Leos Barajas
2026
Chengkun Li, Aki Vehtari, Paul Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt
2026
Transactions on Machine Learning Research
Osvaldo A Martin, Oriol Abril-Pla, Jordan Deklerk, Seth D. Axen, Colin Carroll, Ari Hartikainen, Aki Vehtari
2026
Journal of Open Source Software
Teemu Säilynoja, Marvin Schmitt, Paul Christian Bürkner, Aki Vehtari
2026
STATISTICS AND COMPUTING
Guangzhao Cheng, Aki Vehtari, Lu Cheng
2025
eLife
Alex Cooper, Dan Simpson, Lauren Kennedy, Catherine Forbes, Aki Vehtari
2025
Bayesian Analysis
Kunal Ghosh, Milica Todorovic, Aki Vehtari, Patrick Rinke
2025
Journal of Chemical Physics
David Kohns, Noa Kallioinen, Yann McLatchie, Aki Vehtari
2025
Bayesian Analysis
Måns Magnusson, Jakob Torgander, Paul Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari
2025
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
Charles C. Margossian, Matthew D. Hoffman, Pavel Sountsov, Lionel Riou-Durand, Aki Vehtari, Andrew Gelman
2025
Bayesian Analysis