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cs.LG2025
Self-Contrastive Forward-Forward Algorithm
Xing Chen, Dongshu Liu, Jeremie Laydevant +1
Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, wh…
physics.optics2025
Quantum-limited stochastic optical neural networks operating at a few quanta per activation
Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant +2
Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. Analog physical neural networks hold promise for improved…
cs.ET2025
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…