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ORCIDPavel Sountsov
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2020 – today
- 2024
[c9]Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. ICML 2024- [i6]Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. CoRR abs/2402.01915 (2024) - 2023
- [c8]Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power:
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories. AISTATS 2023: 8102-8116 - [c7]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: 10425-10444 - [c6]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 - [i5]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 abs/2312.02179 (2023) - 2022
- [c5]Matthew D. Hoffman, Pavel Sountsov:
Tuning-Free Generalized Hamiltonian Monte Carlo. AISTATS 2022: 7799-7813 - [c4]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 - [i4]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 abs/2210.17415 (2022) - 2021
- [c3]Matthew Hoffman, Alexey Radul, Pavel Sountsov:
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo. AISTATS 2021: 3907-3915 - 2020
- [c2]Dan Piponi, Matthew D. Hoffman, Pavel Sountsov:
Hamiltonian Monte Carlo Swindles. AISTATS 2020: 3774-3783 - [i3]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 abs/2002.01184 (2020) - [i2]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 abs/2006.06897 (2020)
2010 – 2019
- 2016
- [c1]Pavel Sountsov, Sunita Sarawagi:
Length bias in Encoder Decoder Models and a Case for Global Conditioning. EMNLP 2016: 1516-1525 - [i1]Pavel Sountsov, Sunita Sarawagi:
Length bias in Encoder Decoder Models and a Case for Global Conditioning. CoRR abs/1606.03402 (2016) - 2015
- [j2]Pavel Sountsov, Paul Miller
:
Spiking neuron network Helmholtz machine. Frontiers Comput. Neurosci. 9: 46 (2015) - 2011
- [j1]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: 53 (2011)
Coauthor Index
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last updated on 2024-09-26 01:00 CEST by the dblp team
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