Sountsov, Pavel

8 publications

ICML 2024 Robust Inverse Graphics via Probabilistic Inference Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous

AISTATS 2023 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power

AISTATS 2023 ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous

NeurIPS 2023 Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew Douglas Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles A. Sutton, Sharad Vikram, Rif A. Saurous

AISTATS 2022 Tuning-Free Generalized Hamiltonian Monte Carlo Matthew D. Hoffman, Pavel Sountsov

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

AISTATS 2021 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo Matthew Hoffman, Alexey Radul, Pavel Sountsov

AISTATS 2020 Hamiltonian Monte Carlo Swindles Dan Piponi, Matthew Hoffman, Pavel Sountsov