Introduction of the hybrid inference tool (HIT). - K. David Lee; Andrew E. Gelfand; Eric Wiesenfeld; Brian Stepnitz (FUSION, 2007)

Performance evaluation of decentralized estimation systems with uncertain communication. - Andrew E. Gelfand; Christopher Smith; Mike Colony; Christopher Bowman (FUSION, 2009)

On Herding and the Perceptron Cycling Theorem. - Andrew Gelfand; Yutian Chen 001; Laurens van der Maaten; Max Welling (NIPS, 2010)

BEEM : Bucket Elimination with External Memory. - Kalev Kask; Rina Dechter; Andrew Gelfand (UAI, 2010)

Stopping Rules for Randomized Greedy Triangulation Schemes. - Andrew Gelfand; Kalev Kask; Rina Dechter (AAAI, 2011)

Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models. - Kalev Kask; Andrew Gelfand; Lars Otten; Rina Dechter (AAAI, 2011)

Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation. - Yutian Chen 001; Andrew Gelfand; Charless C. Fowlkes; Max Welling (ICCV, 2011)

Generalized Belief Propagation on Tree Robust Structured Region Graphs. - Andrew Gelfand; Max Welling (UAI, 2012)

A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. - Max Welling; Andrew Gelfand; Alexander Ihler (UAI, 2012)

Belief Propagation for Linear Programming. - Andrew E. Gelfand; Jinwoo Shin; Michael Chertkov (ISIT, 2013)

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. - Jinwoo Shin; Andrew E. Gelfand; Michael Chertkov (NIPS, 2013)

Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs. - Michael Chertkov; Andrew Gelfand; Jinwoo Shin (CoRR, 2013)

Geographic Segmentation via Latent Poisson Factor Model. - Rose Yu; Andrew Gelfand; Suju Rajan; Cyrus Shahabi; Yan Liu 002 (WSDM, 2016)

Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. - Sungsoo Ahn; Michael Chertkov; Andrew E. Gelfand; Sejun Park; Jinwoo Shin (IEEE Trans. Inf. Theory, 2018)