Pavel Sountsov

According to our database, Pavel Sountsov authored at least 13 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Inverse Graphics via Probabilistic Inference.

Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Tuning for Metropolis Adjusted Langevin Trajectories.

Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power

Proceedings of the International Conference on Artificial Intelligence and Statistics, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Tuning-Free Generalized Hamiltonian Monte Carlo.

Matthew D. Hoffman, Pavel Sountsov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo.

Matthew Hoffman, Alexey Radul, Pavel Sountsov

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC.

Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu

CoRR, 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

Hamiltonian Monte Carlo Swindles.

Dan Piponi, Matthew D. Hoffman, Pavel Sountsov

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2016

Length bias in Encoder Decoder Models and a Case for Global Conditioning.

Pavel Sountsov, Sunita Sarawagi

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Spiking neuron network Helmholtz machine.

Pavel Sountsov, Paul Miller

Frontiers Comput. Neurosci., 2015

2011

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