3 papers
cond-mat.mes-hall2026
Neuromorphic computing with optomechanical oscillators
Andrea Gaspari, Rémi Avriller, Florian Marquardt +1
The increasing resource demands of artificial neural networks have prompted the exploration of novel platforms better suited for machine learning. In this context, phase oscillator…
cs.LG2026
Dependence of Equilibrium Propagation Training Success on Network Architecture
Qingshan Wang, Clara C. Wanjura, Florian Marquardt
The rapid rise of artificial intelligence has led to an unsustainable growth in energy consumption. This has motivated progress in neuromorphic computing and physics-based training…
physics.optics2025
Training nonlinear optical neural networks with Scattering Backpropagation
Nicola Dal Cin, Florian Marquardt, Clara C. Wanjura
As deep learning applications continue to deploy increasingly large artificial neural networks, the associated high energy demands are creating a need for alternative neuromorphic…