Non-Linearities in Gaussian Processes with Integral Observations. - Ville Tanskanen; Krista Longi; Arto Klami (MLSP, 2020)

Modeling Risky Choices in Unknown Environments. - Ville Tanskanen; Chang Rajani; Homayun Afrabandpey; Aini Putkonen; Aurélien Nioche; Arto Klami (ACML, 2021)

How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling? - Aini Putkonen; Aurélien Nioche; Ville Tanskanen; Arto Klami; Antti Oulasvirta (UMAP, 2022)

Transformed Gaussian Processes for Characterizing a Model's Discrepancy. - Aurélien Nioche; Ville Tanskanen; Marcelo Hartmann; Arto Klami (ACML, 2023)

Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations. - Ville Tanskanen; Chang Rajani; Perttu Hämäläinen; Christian Guckelsberger; Arto Klami (Trans. Mach. Learn. Res., 2024)

On the Importance of Representation in Imitating Human-Like Gameplay. - Ville Tanskanen; Arto Klami; Ville Hautamäki (CoG, 2025)

Estimating expert prior knowledge from optimization trajectories. - Ville Tanskanen; Petrus Mikkola; Aras Erarslan; Arto Klami (Neurocomputing, 2025)