Computational models and methods for deciphering evolutionary patterns in bacterial genomic data

Project Details

Short titleMarttinen Pekka AT
StatusFinished
Effective start/end date01/09/201524/09/2020

Research Output

  • 2 Conference contribution

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

Järvenpää, M., Vehtari, A. & Marttinen, P., 2020, (Accepted/In press) Conference on Uncertainty in Artificial Intelligence (UAI 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Learning Global Pairwise Interactions with Bayesian Neural Networks

Cui, T., Marttinen, P. & Kaski, S., 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. IOS PRESS, p. 1087-1094 8 p. ( Frontiers in Artificial Intelligence and Applications; vol. 325).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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