1. Com-posable effects for flexible and accelerated proba-bilistic programming in numpyro;phan;ArXiv Preprint,2019
2. Explaining neural network predictions for functional data using principal component analysis and feature importance;goode;Proceedings to AAAI FSS-20 Artificial Intelligence in Government and Public Sector,0
3. Structured variational learning of bayesian neural networks with horseshoe priors;ghosh;Proceedings of the 35th International Conference on Machine Learning,0
4. Advances in wide-area hyperspectral image simulation
5. Pyro: Deep Universital Prob-abilistic Programming;bingham;Journal of Machine Learning Research,2019