3 papers
cs.LG2025
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
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…
physics.optics2024
Photon transport through the entire adult human head
Jack Radford, Vytautas Gradauskas, Kevin J. Mitchell +3
Optical brain imaging technologies are promising due to their relatively high temporal resolution, portability and cost-effectiveness. However, the highly scattering nature of near…