1. Learning disentangled representations with semi-supervised deep generative models;siddharth;Proceedings of the 31st International Conference on Neural Information Processing Systems NIPS'17,2017
2. Additive Covariance kernels for high-dimensional Gaussian Process modeling
3. It is all in the noise: Efficient multi-task gaussian process inference with structured residuals;rakitsch;Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 1 NIPS'13,2013
4. Deep Kalman Filters;krishnan;ArXiv e-prints,2015