1. Acheampong, F.A., Nunoo-Mensah, H., Chen, W.: Transformer models for text-based emotion detection: a review of bert-based approaches. Artif. Intell. Rev. 54(8), 5789–5829 (2021). https://doi.org/10.1007/s10462-021-09958-2
2. Aejas, B., Bouras, A., Belhi, A., Gasmi, H.: Smart contracts implementation based on bidirectional encoder representations from transformers. In: Canciglieri Junior, O., Noël, F., Rivest, L., Bouras, A. (eds.) Product Lifecycle Management, pp. 293–304. Springer International Publishing, Cham, Green and Blue Technologies to Support Smart and Sustainable Organizations (2022)
3. Alain, G., Bengio, Y., Yao, L., Yosinski, J., Thibodeau-Laufer, Z.S., Vincent, P.: Gsns: generative stochastic networks. Inform. Inference: a J. IMA 5(2), 210–249 (2016). https://doi.org/10.1093/imaiai/iaw003
4. Behrmann, J., Grathwohl, W., Chen, R.T., Duvenaud, D., Jacobsen, J.H.: Invertible residual networks. In: Chaudhuri, K., Salakhutdinov, R, (eds) Proceedings of the 36th International Conference on Machine Learning, PMLR, Proceedings of Machine Learning Research, vol 97, pp. 573–582 (2019). https://proceedings.mlr.press/v97/behrmann19a.html
5. Bengio, Y., Yao, L., Alain, G., Vincent, P.: Generalized denoising auto-encoders as generative models. Curran Associates Inc., Red Hook, NY, USA, NIPS’13, pp. 899–907 (2013)