- E-mailPekka.Parviainen@uib.no
- Visitor AddressHIB - Thormøhlens gate 555006 Bergen
- Postal AddressPostboks 78035020 Bergen
I am an associate professor in machine learning.
My main research interests lie within probabilistic graphical models, especially in structure learning in Bayesian networks.Â
List of my publications can be found in my google scholar profile.
Academic article
- (2023). Realistic mask generation for matter-wave lithography via machine learning. Machine Learning: Science and Technology.
- (2023). Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. Proceedings of the Northern Lights Deep Learning Workshop. 8 pages.
- (2022). Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models. Proceedings of Machine Learning Research (PMLR). 157-168.
- (2020). Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph. Proceedings of Machine Learning Research (PMLR). 209-220.
- (2020). Learning Bayesian Networks with Cops and Robbers. Proceedings of Machine Learning Research (PMLR). 473-484.
- (2019). Distributed Bayesian matrix factorization with limited communication. Machine Learning. 1805-1830.
Academic lecture
- (2023). Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary.
Doctoral dissertation
- (2023). On the Significance of Distance in Machine Learning.
Academic chapter/article/Conference paper
- (2023). XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. 16 pages.
- (2022). Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. 8 pages.
More information in national current research information system (CRIStin)