Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
A delicate balance between white blood cell protein expression and the molecules on the surface of tumour cells determines cancer prognoses.
Exact methods supersede approximations used in high-dimensional linear regression to find correlations in statistical physics problems.
The ability of deep neural networks to generalize can be unraveled using path integral methods to compute their typical Boolean functions.
Statistical methods that normally fail for very high-dimensional data can be rescued via mathematical tools from statistical physics.
We optimize Bayesian data clustering by mapping the problem to the statistical physics of a gas and calculating the lowest entropy state.
Exact equations for the thermodynamic quantities of lattices made of d-dimensional hypercubes are obtainable with the Bethe-Peierls approach.