A pool of papers for the DeepReading reading group. Please include a linked citation for each suggested paper. For example,
| Paper | Topic |
|---|---|
| Wadler, Philip. "Theorems for free!." Proceedings of the fourth international conference on Functional programming languages and computer architecture. 1989. | Functional programming languages |
| Paper | Topic |
|---|---|
| Louizos et al. Causal Effect Inference with Deep Latent-Variable Models. NeurIPS 2017 | Deep Probabilistic Programming |
| Obermeyer et al. Functional Tensors for Probabilistic Programming. | Probabilistic Programming |
| Heuberg Only Bayes should learn a manifold | Diff. Geometry |
| Bingham et al. Pyro: Deep Universal Probabilistic Programming | Probabilistic Programming |
| Phan et al. Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro | Probabilitic Programming |
| Andrieu et al. An Introduction to MCMC for Machine Learning | MCMC |
| Kingma et al. Auto-Encoding Variational Bayes | VAE |
| He et al. LAGGING INFERENCE NETWORKS AND POSTERIOR COLLAPSE IN VARIATIONAL AUTOENCODERS | VAE |