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| Publication Date | Article Title | Author(s) |
|---|---|---|
| 5-Dec-2016 | Automatic neuron detection in calcium imaging data using convolutional networks | Apthorpe, NJ; Riordan, AJ; Aguilar, RE; Homann, J; Gu, Y, et al |
| 2014 | Bayesian Nonparametric Poisson Factorization for Recommendation Systems | Gopalan, Prem; Ruiz, Francisco J; Ranganath, Rajesh; Blei, David M |
| 2014 | Black Box Variational Inference | Ranganath, Rajesh; Gerrish, Sean; Blei, David M |
| 2015 | Automatic Variational Inference in Stan | Kucukelbir, Alp; Ranganath, Rajesh; Gelman, Andrew; Blei, David M |
| 2022 | A geometric approach to inelastic collapse | Chazelle, Bernard; Karntikoon, Kritkorn; Zheng, Yufei |
| Aug-2021 | Compositional optimizations for CertiCoq | Paraskevopoulou, Zoe; Li, John M; Appel, Andrew W |
| 2021 | Classical vs Quantum Random Oracles | Yamakawa, Takashi; Zhandry, Mark |
| 2013 | An adaptive learning rate for stochastic variational inference | Ranganath, R; Wang, C; Blei, DM; Xing, EP |
| Feb-2012 | A Tutorial on Bayesian Nonparametric Models | Gershman, Samuel J; Blei, David M |
| 1-Jan-2014 | Bayesian nonparametric poisson factorization for recommendation systems | Gopalan, P; Ruiz, FJR; Ranganath, R; Blei, DM |