Jan E. Gerken

According to our database, Jan E. Gerken authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Layers to Networks: Comparing Neural Representations via Diffusion Geometry.

Atharva Khandait, Jan E. Gerken

CoRR, May, 2026

Criticality and Saturation in Orthogonal Neural Networks.

Max Guillen, Jan E. Gerken

CoRR, May, 2026

2025

Finite-Width Neural Tangent Kernels from Feynman Diagrams.

Max Guillen, Philipp Misof, Jan E. Gerken

CoRR, August, 2025

PEAR: Equal Area Weather Forecasting on the Sphere.

Hampus Linander, Christoffer Petersson, Daniel Persson, Jan E. Gerken

CoRR, May, 2025

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, February, 2025

Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks.

Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan E. Gerken

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Equivariant Neural Tangent Kernels.

Philipp Misof, Pan Kessel, Jan E. Gerken

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Diffeomorphic Counterfactuals With Generative Models.

Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Emergent Equivariance in Deep Ensembles.

Jan E. Gerken, Pan Kessel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HEAL-SWIN: A Vision Transformer on the Sphere.

Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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., December, 2023

2022

Equivariance versus Augmentation for Spherical Images.

Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson

Proceedings of the International Conference on Machine Learning, 2022