Learning Coarsened Dynamic Graph Representations for Deformable Object Manipulation. - Giovanni Luca Marchetti; Marco Moletta; Gustaf Tegnér; Peiyang Shi; Anastasiia Varava; Alexander Kravchenko; Danica Kragic (ICAR, 2021)

On the Subspace Structure of Gradient-Based Meta-Learning. - Gustaf Tegnér; Alfredo Reichlin; Hang Yin 001; Mårten Björkman; Danica Kragic (CoRR, 2022)

Equivariant Representation Learning via Class-Pose Decomposition. - Giovanni Luca Marchetti; Gustaf Tegnér; Anastasiia Varava; Danica Kragic (AISTATS, 2023)

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. - Alfredo Reichlin; Gustaf Tegnér; Miguel Vasco; Hang Yin 001; Mårten Björkman; Danica Kragic (Trans. Mach. Learn. Res., 2024)