Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S.
Gardner, J.R., Pleiss, G., Bindel, D., Weinberger, K.Q. and Wilson, A.G. (2018). GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration. In Advances in Neural Information Processing Systems.
Bishop, C.M. (1994). Mixture Density Networks. Aston University.
Titsias, M. (2009). Variational Learning of Inducing Variables in Sparse Gaussian Processes. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, vol. 5, pp. 567--574. https://proceedings.mlr.press/v5/titsias09a.html