08.10.2024, 10:15 - 11:45
– 3.06.H02
Kálmán Lecture
Particle Methods in Machine Learning and Inverse Problems
Martin Burger, Helmholtz Imaging
Dr. Jens Fischer (D-fine AG, Zürich; Univ. Toulouse)
With the advancements in quantum computing in recent years, the need for secure encoding methods, which can withstand quantum attacks, has motivated a new research branch in cryptography known as post-quantum cryptography. One proposed method relies d-dim grids and an associated
problem of finding minimal distant grid points of a given point in Rd.
In this talk, we discuss a way of recovering efficiently probabilistically information on any grid using an extension of an exclusion process and open the discussion regarding the parameter choices and transition probabilities.
The Zoom-access data are available here.