Equivariance versus Augmentation for Spherical Images. - Jan E. Gerken; Oscar Carlsson; Hampus Linander; Fredrik Ohlsson; Christoffer Petersson; Daniel Persson (ICML, 2022)

Geometric deep learning and equivariant neural networks. - Jan E. Gerken; Jimmy Aronsson; Oscar Carlsson; Hampus Linander; Fredrik Ohlsson; Christoffer Petersson; Daniel Persson (Artif. Intell. Rev., 2023)

HEAL-SWIN: A Vision Transformer on the Sphere. - Oscar Carlsson; Jan E. Gerken; Hampus Linander; Heiner Spieß; Fredrik Ohlsson; Christoffer Petersson; Daniel Persson (CVPR, 2024)

Emergent Equivariance in Deep Ensembles. - Jan E. Gerken; Pan Kessel (ICML, 2024)

Equivariant Neural Tangent Kernels. - Philipp Misof; Pan Kessel; Jan E. Gerken (CoRR, 2024)

Diffeomorphic Counterfactuals With Generative Models. - Ann-Kathrin Dombrowski; Jan E. Gerken; Klaus-Robert Müller; Pan Kessel (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks. - Longde Huang; Oleksandr Balabanov; Hampus Linander; Mats Granath; Daniel Persson; Jan E. Gerken (CoRR, 2025)

PEAR: Equal Area Weather Forecasting on the Sphere. - Hampus Linander; Christoffer Petersson; Daniel Persson; Jan E. Gerken (CoRR, 2025)