A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation. - Pavel Sountsov; David M. Santucci; John E. Lisman (Frontiers Comput. Neurosci., 2011)

Spiking neuron network Helmholtz machine. - Pavel Sountsov; Paul Miller 001 (Frontiers Comput. Neurosci., 2015)

Length bias in Encoder Decoder Models and a Case for Global Conditioning. - Pavel Sountsov; Sunita Sarawagi (EMNLP, 2016)

Hamiltonian Monte Carlo Swindles. - Dan Piponi; Matthew D. Hoffman; Pavel Sountsov (AISTATS, 2020)

tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware. - Junpeng Lao; Christopher Suter; Ian Langmore; Cyril Chimisov; Ashish Saxena; Pavel Sountsov; Dave Moore; Rif A. Saurous; Matthew D. Hoffman; Joshua V. Dillon (CoRR, 2020)

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)

An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo. - Matthew Hoffman 001; Alexey Radul; Pavel Sountsov (AISTATS, 2021)

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

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)

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 (AISTATS, 2023)

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

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

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