1. Agostinelli, F., Anderson, M.R., Lee, H.: Adaptive multi-column deep neural networks with application to robust image denoising. In: Proceedings of the 26th International Conference on Neural Information Processing Systems, NIPS 2013, vol. 1, pp. 1493–1501. Curran Associates Inc., Red Hook (2013)
2. Bigdeli, S.A., Lin, G., Portenier, T., Dunbar, L.A., Zwicker, M.: Learning generative models using denoising density estimators (2020)
3. Block, A., Mroueh, Y., Rakhlin, A.: Generative modeling with denoising auto-encoders and Langevin sampling (2020)
4. Cho, K.: Simple sparsification improves sparse denoising autoencoders in denoising highly noisy images. In: 30th International Conference on Machine Learning, ICML 2013, 16 June 2013–21 June 2013, pp. 1469–1477 (2013)
5. Choi, J.Y., et al.: Coupling exascale multiphysics applications: methods and lessons learned, pp. 442–452 (2018). https://doi.org/10.1109/eScience.2018.00133