Srinivas Vasudevan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 6

Top Topics

Exponential Distributions

Linear Combination Of Basis

Distributed Environment

Top Venues

Publications

Thomas Colthurst, Srinivas Vasudevan, James Lottes, Brian Patton
Fast Approximate Determinants Using Rational Functions. CoRR (2024)
Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. ICLR (2022)
Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. CoRR (2020)
Dustin Tran, Matthew D. Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul
Simple, Distributed, and Accelerated Probabilistic Programming. NeurIPS (2018)
Dustin Tran, Matthew D. Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul, Matthew J. Johnson, Rif A. Saurous
Simple, Distributed, and Accelerated Probabilistic Programming. CoRR (2018)
Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous
TensorFlow Distributions. CoRR (2017)