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Kim, Hyeongji; Choi, Changkyu; Kampffmeyer, Michael Christian
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Miraki, Amir; Parviainen, Pekka; Arghandeh, Reza
(2025). Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model. (ekstern lenke)
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Miraki, Amir; Parviainen, Pekka; Arghandeh, Reza
(2024). Electricity demand forecasting at distribution and household levels using explainable causal graph neural network. (ekstern lenke)
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Kundu, Madhumita; Parviainen, Pekka; Saurabh, Saket
(2024). Discovering Bayesian Networks when Few Variables Matter. (ekstern lenke)
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Inamdar, Tanmay; Kundu, Madhumita; Parviainen, Pekka
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Korhonen, Tuukka; Fomin, Fedor; Parviainen, Pekka
(2024). Structural perspective on constraint-based learning of Markov networks. (ekstern lenke)
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Kundu, Madhumita; Parviainen, Pekka; Saurabh, Saket
(2024). Time–Approximation Trade-Offs for Learning Bayesian Networks. (ekstern lenke)
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Kjærsgaard, Rune D.; Parviainen, Pekka; Saurabh, Saket
et al. (2024). Fair Soft Clustering. (ekstern lenke)
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Kim, Hyeongji; Parviainen, Pekka; Malde, Ketil
(2023). Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. (ekstern lenke)
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Fiedler, Johannes; Palau, Adria Salvador; Osestad, Eivind Kristen
et al. (2023). Realistic mask generation for matter-wave lithography via machine learning. (ekstern lenke)
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Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Hernández-Orallo, José
et al. (2022). On the trade-off between fidelity and teaching complexity. (ekstern lenke)
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Gillot, Pierre; Parviainen, Pekka
(2022). Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models. (ekstern lenke)
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Talvitie, Topi; Parviainen, Pekka
(2020). Learning Bayesian Networks with Cops and Robbers. (ekstern lenke)
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Gillot, Pierre; Parviainen, Pekka
(2020). Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph. (ekstern lenke)
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Qin, Xiangju; Blomstedt, Paul; Leppäaho, Eemeli
et al. (2019). Distributed Bayesian matrix factorization with limited communication. (ekstern lenke)
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