There has been a lot of work fitting Ising models to multivariate binary data in order to understand the conditional dependency relationships between the variables. However, additional covariates are ...

, Roberto H. Schonmann, Jeffrey E. Steif, The Ising Model on Diluted Graphs and Strong Amenability, The Annals of Probability, Vol. 28, No. 3 (Jul., 2000), pp. 1111-1137 ...

Combinatorial optimization problems are at the root of many industrial processes and solving them is key to a more sustainable and efficient future. Ising machines can solve certain combinatorial ...

Ising studied a deceptively simple model that, unknown to him at the time, captures the essential physics of an extremely wide category of problems.