Chertkov, Michael

15 publications

TMLR 2024 Exact Fractional Inference via Re-Parametrization \& Interpolation Between Tree-Re-Weighted- and Belief Propagation- Algorithms Hamidreza Behjoo, Michael Chertkov

ICLRW 2020 Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence Arvind T. Mohan, Nicholas Lubbers, Daniel Livescu, Michael Chertkov

ICLRW 2020 Wavelet-Powered Neural Networks for Turbulence Arvind T. Mohan, Daniel Livescu, Michael Chertkov

ICML 2018 Bucket Renormalization for Approximate Inference Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin

AISTATS 2018 Gauged Mini-Bucket Elimination for Approximate Inference Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller

NeurIPS 2017 Gauging Variational Inference Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin

NeurIPS 2016 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models Marc Vuffray, Sidhant Misra, Andrey Lokhov, Michael Chertkov

JMLR 2016 Learning Planar Ising Models Jason K. Johnson, Diane Oyen, Michael Chertkov, Praneeth Netrapalli

NeurIPS 2016 Synthesis of MCMC and Belief Propagation Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin

NeurIPS 2015 Minimum Weight Perfect Matching via Blossom Belief Propagation Sung-Soo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin

JMLR 2013 Approximating the Permanent with Fractional Belief Propagation Michael Chertkov, Adam B. Yedidia

JMLR 2010 Approximate Inference on Planar Graphs Using Loop Calculus and Belief Propagation Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov

UAI 2009 Approximate Inference on Planar Graphs Using Loop Calculus and Belief Propagation Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov

ICML 2009 Orbit-Product Representation and Correction of Gaussian Belief Propagation Jason K. Johnson, Vladimir Y. Chernyak, Michael Chertkov

AAAI 2008 Loop Calculus for Satisfiability Lukas Kroc, Michael Chertkov