no code implementations • 22 Nov 2023 • Gilles Bareilles, Johannes Aspman, Jiri Nemecek, Jakub Marecek
Tame functions are a class of nonsmooth, nonconvex functions, which feature in a wide range of applications: functions encountered in the training of deep neural networks with all common activations, value functions of mixed-integer programs, or wave functions of small molecules.
no code implementations • 5 Oct 2023 • Johannes Aspman, Georgios Korpas, Jakub Marecek
There has been a great deal of recent interest in binarized neural networks, especially because of their explainability.
no code implementations • 1 Feb 2023 • Johannes Aspman, Vyacheslav Kungurtsev, Reza Roohi Seraji
In many learning applications, the parameters in a model are structurally constrained in a way that can be modeled as them lying on a Riemannian manifold.