Pavel Sountsov

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 14

Top Topics

Importance Sampling

Probabilistic Inference

Bucket Elimination

Top Venues

Publications

Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous
Robust Inverse Graphics via Probabilistic Inference. CoRR (2024)
Matthew Douglas Hoffman, Du Phan, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
Training Chain-of-Thought via Latent-Variable Inference. NeurIPS (2023)
Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images. AISTATS (2023)
Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
Training Chain-of-Thought via Latent-Variable Inference. CoRR (2023)
Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories. AISTATS (2023)
Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images. CoRR (2022)
Matthew D. Hoffman, Pavel Sountsov
Tuning-Free Generalized Hamiltonian Monte Carlo. AISTATS (2022)
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)
Matthew Hoffman, Alexey Radul, Pavel Sountsov
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo. AISTATS (2021)
Junpeng Lao, Christopher Suter, Ian Langmore, Cyril Chimisov, Ashish Saxena, Pavel Sountsov, Dave Moore, Rif A. Saurous, Matthew D. Hoffman, Joshua V. Dillon
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware. CoRR (2020)
Dan Piponi, Matthew D. Hoffman, Pavel Sountsov
Hamiltonian Monte Carlo Swindles. AISTATS (2020)
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)
Pavel Sountsov, Sunita Sarawagi
Length bias in Encoder Decoder Models and a Case for Global Conditioning. EMNLP (2016)
Pavel Sountsov, Sunita Sarawagi
Length bias in Encoder Decoder Models and a Case for Global Conditioning. CoRR (2016)
Pavel Sountsov, Paul Miller
Spiking neuron network Helmholtz machine. Frontiers Comput. Neurosci. 9 (2015)
Pavel Sountsov, David M. Santucci, John E. Lisman
A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation. Frontiers Comput. Neurosci. 5 (2011)