3 papers
eess.SP2026
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…
eess.SP2026
Statistical Multiport-Network Modeling and Efficient Discrete Optimization of RIS
Cheima Hammami, Luc Le Magoarou, Philipp del Hougne
This Letter addresses the physics-consistent optimization of reconfigurable intelligent surfaces (RISs) with mutual coupling (MC) and 1-bit-programmable RIS elements. This combinat…
cs.LG2024
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
Cheima Hammami, Lucas Polo-López, Luc Le Magoarou
This paper introduces an innovative end-to-end model-based deep learning approach for efficient electromagnetic analysis of high-dimensional frequency selective surfaces (FSS). Unl…