4 citations · 4 across the 3 of their papers we have counts for
4 papers
Towards Engineering Material Neural Networks
Charles de Kergariou, Hortense le Ferrand, Ali Momeni +4
Structures that capture functionality in the form of animate or intelligent machines have the potential to transform modern engineering applications. Animation and embedded intelli…
Multi-channel Optical Vision Model
Ali Momeni, Guillaume Noetinger, Tim Tuuva +1
Spatial multiplexing is one of the natural strengths of optics, yet in optical neural networks, it is often used mainly as parallel throughput. Here, we show that spatial multiplex…
Expressivity of Programmable-Metasurface-Based Physical Neural Networks: Encoding Non-Linearity, Structural Non-Linearity, and Depth
Cheima Hammami, Luc Le Magoarou, Christos Monochristou +4
Wave-based signal processing conventionally encodes input data into the input wavefront, making it challenging to implement non-linear operations. Programmable wave systems enable…
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…