A high-performance CNN method for offline handwritten Chinese character recognition and visualization. - Pavlo Melnyk; Zhiqiang You; Keqin Li 001 (Soft Comput., 2020)

Embed Me If You Can: A Geometric Perceptron. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck (ICCV, 2021)

Fully Steerable 3D Spherical Neurons. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck (CoRR, 2021)

Steerable 3D Spherical Neurons. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck (ICML, 2022)

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification. - Pavlo Melnyk; Andreas Robinson; Mårten Wadenbäck; Michael Felsberg (CoRR, 2022)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

Deep Equivariant Hyperspheres. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck; Andreas Robinson; Cuong Le 004 (CoRR, 2023)

Augment Features Beyond Color for Domain Generalized Segmentation. - Qiyu Sun; Pavlo Melnyk; Michael Felsberg; Yang Tang (CoRR, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. - Pavlo Melnyk; Andreas Robinson; Michael Felsberg; Mårten Wadenbäck (CVPR, 2024)

On Learning Deep O(n)-Equivariant Hyperspheres. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck; Andreas Robinson; Cuong Le 004 (ICML, 2024)