6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Fisher information flow in artificial neural networks
Maximilian Weimar, Lukas M. Rachbauer, Ilya Starshynov +4
The estimation of continuous parameters from measured data plays a central role in many fields of physics. A key tool in understanding and improving such estimation processes is th…
physics.optics2025★ 6 cited
Model-free estimation of the Cramér-Rao bound for deep-learning microscopy in complex media
Ilya Starshynov, Maximilian Weimar, Lukas M. Rachbauer +4
Artificial neural networks have become important tools to harness the complexity of disordered or random photonic systems. Recent applications include the recovery of information f…