1. Abbasvandi, Z., Nasrabadi, A.M.: A self-organized recurrent neural network for estimating the effective connectivity and its application to EEG data. Comput. Biol. Med. 110, 93–107 (2019)
2. Agarwal, R., Frosst, N., Zhang, X., Caruana, R., Hinton, G.E.: Neural additive models: Interpretable machine learning with neural nets. arXiv preprint arXiv:2004.13912 (2020)
3. Baek, E., Brock, W.: A general test for nonlinear granger causality: bivariate model. In: Iowa State University and University of Wisconsin at Madison Working Paper (1992)
4. Bengio, Y., et al.: A meta-transfer objective for learning to disentangle causal mechanisms (2019). arXiv preprint arXiv:1901.10912
5. Bongers, S., Mooij, J.M.: From random differential equations to structural causal models: the stochastic case. arXiv preprint arXiv:1803.08784 (2018)