Wave-based extreme deep learning based on non-linear time-Floquet entanglement. - Ali Momeni 002; Romain Fleury (CoRR, 2021)

Physics-inspired Neuroacoustic Computing Based on Tunable Nonlinear Multiple-scattering. - Ali Momeni 002; Xinxin Guo; Hervé Lissek; Romain Fleury (CoRR, 2023)

Backpropagation-free Training of Deep Physical Neural Networks. - Ali Momeni 002; Babak Rahmani; Matthieu Mallejac; Philipp del Hougne; Romain Fleury (CoRR, 2023)

GraCo - A Graph Composer for Integrated Circuits. - Stefan Uhlich; Andrea Bonetti; Arun Venkitaraman; Ali Momeni 002; Ryoga Matsuo; Chia-Yu Hsieh; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2024)

Schemato - An LLM for Netlist-to-Schematic Conversion. - Ryoga Matsuo; Stefan Uhlich; Arun Venkitaraman; Andrea Bonetti; Chia-Yu Hsieh; Ali Momeni 002; Lukas Mauch; Augusto Capone; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2024)

Locality-aware Surrogates for Gradient-based Black-box Optimization. - Ali Momeni 002; Stefan Uhlich; Arun Venkitaraman; Chia-Yu Hsieh; Andrea Bonetti; Ryoga Matsuo; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)