4 citations · 5 across the 3 of their papers we have counts for
12 papers
Local Learning Rules for Out-of-Equilibrium Physical Generative Models
Cyrill Bösch, Geoffrey Roeder, Marc Serra-Garcia +1
We show that the out-of-equilibrium driving protocol of score-based generative models (SGMs) can be learned via local learning rules. The gradient with respect to the parameters of…
Acoustic Cloning
Jonas Müller, Theodor S. Becker, Xun Li +4
Cloning refers to producing identical copies of existing objects. Here, we experimentally show how to clone acoustic scattering objects. We acquire a digital twin and bring it back…
Programming nanomechanical computation with light
Xiaofei Guo, Jonne Drost, Fons van der Laan +3
Looking at physical systems as computers allows us to regard physical properties, such as thermal noise, symmetry or topology, as unconventional resources for computation. However,…
Multimodal oscillator networks learn to solve a classification problem
Daan de Bos, Marc Serra-Garcia
We numerically demonstrate a network of coupled oscillators that can learn to solve a classification task from a set of examples -- performing both training and inference through t…
Synthesis of mass-spring networks from high-level code descriptions
Parisa Omidvar, Marc Serra-Garcia
Structural nonlinearity can be harnessed to program complex functionalities in robotic devices. However, it remains a challenge to design nonlinear systems that will accomplish a s…
Racetrack computing with a topological boundary ratchet
Parisa Omidvar, Markus Bestler, Sima Zahedi Fard +2
Multistable order parameters provide a natural means of encoding non-volatile information in spatial domains, a concept that forms the foundation of magnetic memory devices. Howeve…