TensorFlow Distributions. - Joshua V. Dillon; Ian Langmore; Dustin Tran; Eugene Brevdo; Srinivas Vasudevan; Dave Moore; Brian Patton; Alex Alemi; Matthew D. Hoffman; Rif A. Saurous (CoRR, 2017)

Simple, Distributed, and Accelerated Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Dave Moore; Christopher Suter; Srinivas Vasudevan; Alexey Radul (NeurIPS, 2018)

Simple, Distributed, and Accelerated Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Dave Moore; Christopher Suter; Srinivas Vasudevan; Alexey Radul; Matthew J. Johnson 002; Rif A. Saurous (CoRR, 2018)

Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. - Erik Nijkamp; Ruiqi Gao; Pavel Sountsov; Srinivas Vasudevan; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (CoRR, 2020)

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. - Erik Nijkamp; Ruiqi Gao; Pavel Sountsov; Srinivas Vasudevan; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (ICLR, 2022)

Fast Approximate Determinants Using Rational Functions. - Thomas Colthurst; Srinivas Vasudevan; James Lottes; Brian Patton (CoRR, 2024)

The Vizier Gaussian Process Bandit Algorithm. - Xingyou Song; Qiuyi Zhang 001; Chansoo Lee; Emily Fertig; Tzu-Kuo Huang; Lior Belenki; Greg Kochanski; Setareh Ariafar; Srinivas Vasudevan; Sagi Perel; Daniel Golovin (CoRR, 2024)