Bertrand Haas

Learn More
We consider linear ill-posed inverse problems y = Ax, in which we want to infer many count parameters x from few count observations y, where the matrix A is binary and has some unimodularity property. Such problems are typical in applications such as contingency table analysis and network tomog-raphy (on which we present testing results). These properties(More)
  • 1