User Tools

Site Tools


dlcp:biblio

This is an old revision of the document!


Bibliography

Учет симметрий входных данных при глубоком обучении (Equivariant Networks)

Общий подход

  • R. Kondor, et al. “On the generalization of equivariance and convolution in neural networks to the action of compact groups. 2018; arXiv: 1802.03690
  • R. Kondor, et al. “Clebsch–Gordan nets: a fully Fourier space spherical convolutional neural network. 2018; arXiv: 1806.09231
  • Taco S. Cohen, Mario Geiger, Jonas Köhler, and Max Welling. “Spherical CNNs”. In: International Conference on Learning Representations. 2018.; arXiv:1801.10130
  • Taco S. Cohen and Max Welling. “Steerable CNNs”. In: 5th International Conference on Learning Representations, ICLR 2017. 2017.; arXiv:1612.08498
  • Taco S Cohen, Mario Geiger, and Maurice Weiler. “A general theory of equivariant CNNs on homogeneous spaces”. In: Advances in Neural Information Processing Systems. 2019, pp. 9142–9153; arXiv:1811.02017
  • Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, and Max Welling. “Gauge Equivariant Convolutional Networks and the Icosahedral CNN”. In: Proceedings of the 36th International Conference on Machine Learning, ICML 2019. 2019; arXiv:1902.04615
  • Taco Cohen and Max Welling. “Group equivariant convolutional networks”. In: International conference on machine learning. 2016, pp. 2990–2999; arXiv:1602.07576
  • S. Ravanbakhsh, “Universal Equivariant Multilayer Perceptrons”, arXiv:2002.02912
  • D.L.Bergman, “Symmetry constrained machine learning”, arXiv:1811.07051

Дискретные группы

  • S. Ravanbakhsh et al. “Equivariance Through Parameter-Sharing”, arXiv:1702.08389

Data Augmentation

  • S.Chen et al., “A Group-Theoretic Framework for Data Augmentation”, arXiv:1907.10905

Обзоры

  • C.Esteves “Theoretical aspects of group equivariant neural networks”, arXiv:2004.05154
  • L.D.Libera, “Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods”, arXiv:1910.14594
  • L. von Rueden et al., “Informed Machine Learning –A Taxonomy and Survey of Integrating Knowledge into Learning Systems” arXiv: 1903.12394
dlcp/biblio.1617128213.txt.gz · Last modified: 30/03/2021 21:16 by admin