Publisher
Springer Nature Singapore
Reference37 articles.
1. Zhang, K., et al.: History matching of naturally fractured reservoirs using a deep sparse autoencoder. SPE J. 26(04), 1700–1721 (2021)
2. Lai, Z., Liu, S., Efros, A.A., Wang, X.: Video autoencoder: self-supervised disentanglement of static 3d structure and motion. In: Proceedings of the IEEE/CVF International Conference on Computer Vision 2021, pp. 9730–9740 (2021)
3. Parmar, G., Li, D., Lee, K., Tu, Z.: Dual contradistinctive generative autoencoder. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 823–832 (2021)
4. Nguyen, H., Tran, K.P., Thomassey, S., Hamad, M.: Forecasting and anomaly detection approaches using LSTM and LSTM autoencoder techniques with the applications in supply chain management. Int. J. Inf. Manage. 57, 102282 (2021)
5. Kim, J., Kong, J., Son, J.: Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech. In: International Conference on Machine Learning PMLR, pp. 5530–5540 (2021)