1. Agarwal, R., Melnick, L., Frosst, N., Zhang, X., Lengerich, B., Caruana, R., & Hinton, G. E. (2021). Neural additive models: Interpretable machine learning with neural nets. arXiv:2004.13912v2.
2. Al-Mudafer, M. T., Avanzi, B., Taylor, G., & Wong, B. (2022). Stochastic loss reserving with mixture density neural networks. Insurance: Mathematics & Economics, 105, 144–147.
3. Bishop, C. M. (1994). Mixture Density Networks. Technical Report. Aston University, Birmingham.
4. Bishop, C. M. (2006). Pattern recognition and machine learning. New York: Springer.
5. Blundell, C., Cornebise, J., Kavukcuoglu, K., & Wiersta, D. (2015). Weight uncertainty in neural network. Proceedings of Machine Learning Research, 37, 1613–1622.