Research output per year
Research output per year
Personal profile
Fields of Science
- 113 Computer and information sciences
- Machine learning
- Probabilistic modeling
- Computational cognitive science
- 112 Statistics and probability
- Bayesian inference
International and National Collaboration
Publications and projects within past five years.
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Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo
Li, C., Clarté, G. & Acerbi, L., 9 Mar 2023.Research output: Working paper › Preprint
Open AccessFile -
Online Simulator-Based Experimental Design for Cognitive Model Selection
Aushev, A., Putkonen, A., Clarté, G., Chandramouli, S., Acerbi, L., Kaski, S. & Howes, A., 21 Sep 2023, (E-pub ahead of print) In: Computational Brain and Behavior.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
PyVBMC: Efficient Bayesian inference in Python
Huggins, B., Li, C., Tobaben, M., Aarnos, M. J. & Acerbi, L., 21 Jun 2023, In: Journal of open source software. 8, 86Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Parallel MCMC Without Embarrassing Failures
de Souza, D. A., Mesquita, D., Kaski, S. & Acerbi, L., 22 Feb 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, p. 1786-1804 (Proceedings of Machine Learning Research (PMLR); vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Tackling covariate shift with node-based Bayesian neural networks
Trinh, T. Q., Heinonen, M., Acerbi, L. & Kaski, S., 2022, Proceedings of the 39th International Conference on Machine Learning. Journal of Machine Learning Research, p. 21751-21775 (Proceedings of Machine Learning Research; vol. 162).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile
Projects
- 1 Active
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WiseBayes: Resource-wise and trustworthy Bayesian machine learning
Acerbi, L. & Yeom Song, V. M.
01/09/2023 → 31/08/2027
Project: Academy of Finland: Academy Project