Pavlo Melnyk

Pavlo Melnyk,  Spherical NeurO(n)s for Geometric Deep Learning, Linköping Studies in Science and Technology. Dissertations 2393, Linköping University Electronic Press, Linköping (2024)  https://doi.org/10.3384/9789180756808

Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck,  TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2024, Proceedings: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5620-5630, IEEE Computer Society (2024)  https://doi.org/10.1109/CVPR52733.2024.00537  https://arxiv.org/abs/2211.14456

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le,  On Learning Deep O(n)-Equivariant Hyperspheres, Proceedings of the 41st International Conference on Machine Learning, Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix (eds.), Proceedings of Machine Learning Research, pp. 35324-35339, PMLR (2024)  https://arxiv.org/abs/2305.15613

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck,  Steerable 3D Spherical Neurons, Proceedings of the 39th International Conference on Machine Learning, Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, Sivan Sabato (eds.), Proceedings of Machine Learning Research, pp. 15330-15339, PMLR (2022)  https://arxiv.org/abs/2106.13863

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck,  Embed Me If You Can: A Geometric Perceptron, Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021, IEEE International Conference on Computer Vision. Proceedings, pp. 1256-1264, Institute of Electrical and Electronics Engineers (IEEE) (2021)  https://doi.org/10.1109/iccv48922.2021.00131  https://arxiv.org/abs/2006.06507