Frey B, Kschischang F, Loeliger H. (2001). Factor graphs and the sum-product algorithm IEEE Trans Inform Theory. 47

Heskes T. (2004). Stable fixed points of loopy belief propagation are minima of the bethe free energy Advances in neural information processing systems.

Kappen H, Rodriguez F. (1998). Efficient learning in Boltzmann machines using linear response theory Neural Comput. 10

Mackay D, Frey B. (1997). A revolution: Belief propagation in graphs with cycles Advances in neural information processing systems. 10

Minka T. (2001). Expectation propagation for approximate Bayesian inference Proceedings of the Conference on Uncertainty in Artificial Intelligence.

Tanaka K. (2003). Probabilistic inference by means of cluster variation method and linear response theory IEICE Transactions in Information and Systems. E6-D

Teh Y, Welling M. (2001). The unified propagation and scaling algorithm Advances in neural information processing systems. 14

Teh Y, Welling M. (2003). Approximate inference in Boltzmann machines Artif Intell. 143

Wainwright M, Jaakkola T, Willsky A. (2002). A new class of upper bounds on the log partition function Proceedings of the Conference on Uncertainty in Artificial Intelligence .

Wainwright M, Jordan M. (2003). Semidefinite relaxations for approximate inference on graphs with cycles Tech. Rep. No. UCB-CSD-3-1226.

Wainwright M, Willsky A, Sudderth E. (2000). Tree-based modeling and estimation of gaussian processes on graphs with cycles Advances in neural information processing systems. 13

Weiss Y. (2000). Correctness of local probability in graphical models with loops. Neural computation. 12 [PubMed]

Weiss Y, Freeman W. (1999). Correctness of belief propagation in gaussian graphical models of arbitrary topology Advances in neural information processing systems. 12

Weiss Y, Freeman W. (2001). On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs IEEE Trans Inform Theory. 47

Weiss Y, Murphy K, Jordan M. (1999). Loopy belief propagation for approximate inference: An empirical study Proceedings of the Conference on Uncertainty in Artificial Intelligence.

Weiss Y, Yedidia J, Freeman W. (2000). Generalized belief propagation Advances in neural information processing systems. 13

Weiss Y, Yedidia J, Freeman W. (2002). Constructing free energy approximations and generalized belief propagation algorithms Tech. Rep. TR2002-35.

Yedidia J, Georges A. (1991). How to expand around mean-field theory using high-temperature expansions J Phys A Math Gen. 24

Yuille AL. (2002). CCCP algorithms to minimize the Bethe and Kikuchi free energies: convergent alternatives to belief propagation. Neural computation. 14 [PubMed]