Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, 32, 2019.
C. A. Popa. Complex-valued convolutional neural networks for real-valued image classification. In International Joint Conference on Neural Networks, 2017.
A. Rahimi and B. Recht. Random features for large scale kernel machines. In Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007.
David P Reichert and Thomas Serre. Neuronal synchrony in complex-valued deep networks. arXiv preprint arXiv:1312.6115, 2013.
Sami Remes, Markus Heinonen, and Samuel Kaski. Non-stationary spectral kernels. Advances in neural information processing systems, 30, 2017.
Izhak Shafran, Tom Bagby, and R. J. Skerry-Ryan. Complex evolution recurrent neural networks (cernns). In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 5854-5858, 2018.
Anthony Tompkins, Rafael Oliveira, and Fabio T Ramos. Sparse spectrum warped input measures for nonstationary kernel learning. Proceedings of Advances in Neural Information Processing Systems, pages 16153-16164, 2020.
Jean-Francois Ton, Seth Flaxman, Dino Sejdinovic, and Samir Bhatt. Spatial mapping with gaussian processes and non-stationary fourier features. *Spatial statistics*, 28:59-78, 2018.
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, and Christopher J Pal. Deep complex networks. In International Conference on Learning Representations, 2018.
Théo Trouillon and Maximilian Nickel. Complex and holographic embeddings of knowledge graphs: a comparison. arXiv preprint arXiv:1707.01475, 2017.
Hirofumi Tsuzuki, Mauricio Kugler, Susumu Kuroyanagi, and Akira Iwata. An approach for sound source localization by complex-valued neural network. IEICE TRANSACTIONS on Information and Systems, 96(10):2257-2265, 2013.
Shanshan Wang, Huitao Cheng, Ziwen Ke, Leslie Ying, Xin Liu, Hairong Zheng, and Dong Liang. Complex-valued residual network learning for parallel mr imaging. In Proc. 26th Annu. Meeting of ISMRM, 2018.
Xab Wen, B Gma, Zab Feng, C Hl, and Zab Lu. Polsar image classification via a novel semi-supervised recurrent complex-valued convolution neural network. Neurocomputing, 388:255-268, 2020.
Michael Wilmanski, Chris Kreucher, and Alfred Hero. Complex input convolutional neural networks for wide angle sar atr. In 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pages 1037-1041. IEEE, 2016.
Andrew Wilson and Ryan Adams. Gaussian process kernels for pattern discovery and extrapolation. In International conference on machine learning, pages 1067-1075. PMLR, 2013.
Scott Wisdom, Thomas Powers, John Hershey, Jonathan Le Roux, and Les Atlas. Full-capacity unitary recurrent neural networks. Advances in neural information processing systems, 29, 2016.
Moritz Wolter and Angela Yao. Complex gated recurrent neural networks. Advances in neural information processing systems, 31, 2018.
Daniel E Worrall, Stephan J Garbin, Daniyar Turmukhambetov, and Gabriel J Brostow. Harmonic networks: Deep translation and rotation equivariance. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 5028-5037, 2017.