Pekka Parviainen
Stilling
Førsteamanuensis
Tilhørighet
Publikasjoner
Vitenskapelig artikkel
- Miraki, Amir; Parviainen, Pekka; Arghandeh, Reza (2024). Electricity demand forecasting at distribution and household levels using explainable causal graph neural network. (ekstern lenke)
- Kim, Hyeongji; Choi, Changkyu; Kampffmeyer, Michael Christian et al. (2024). ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. (ekstern lenke)
- Fiedler, Johannes; Palau, Adria Salvador; Osestad, Eivind Kristen et al. (2023). Realistic mask generation for matter-wave lithography via machine learning. (ekstern lenke)
- Kim, Hyeongji; Parviainen, Pekka; Malde, Ketil (2023). Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. (ekstern lenke)
- Gillot, Pierre; Parviainen, Pekka (2022). Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models. (ekstern lenke)
- Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Hernández-Orallo, José et al. (2022). On the trade-off between fidelity and teaching complexity. (ekstern lenke)
- Gillot, Pierre; Parviainen, Pekka (2020). Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph. (ekstern lenke)
- Talvitie, Topi; Parviainen, Pekka (2020). Learning Bayesian Networks with Cops and Robbers. (ekstern lenke)
- Qin, Xiangju; Blomstedt, Paul; Leppäaho, Eemeli et al. (2019). Distributed Bayesian matrix factorization with limited communication. (ekstern lenke)
Vitenskapelig foredrag
Doktorgradsavhandling
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
- Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Hernández-Orallo, José et al. (2023). XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. (ekstern lenke)
- Gillot, Pierre; Parviainen, Pekka (2022). Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. (ekstern lenke)