Diffractive Coupling For Photonic Networks: How Big Can We Go? von Maktoobi, Sheler, Froehly, Luc, Andreoli, Louis, Porte, Xavier, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Fast autofocusing using tiny transformer networks for digital holographic microscopy von Cuenat, Stéphane, Andréoli, Louis, André, Antoine N., Sandoz, Patrick, Laurent, Guillaume J., Couturier, Raphaël, Jacquot, Maxime

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Boolean learning under noise-perturbations in hardware neural networks von Andreoli, Louis, Porte, Xavier, Chrétien, Stéphane, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Asymmetric noise sensitivity of pulse trains in an excitable microlaser with delayed optical feedback von Terrien, Soizic, Krauskopf, Bernd, Broderick, Neil G. R., Andréoli, Louis, Selmi, Foued, Braive, Rémy, Beaudoin, Grégoire, Sagnes, Isabelle, Barbay, Sylvain

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Fundamental aspects of noise in analog-hardware neural networks von Semenova, N., Porte, X., Andreoli, L., Jacquot, M., Larger, L., Brunner, D.

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Optical pumping of quantum dot micropillar lasers von Andreoli, L, Porte, X, Heuser, T, Große, J, Moeglen-Paget, B, Furfaro, L, Reitzenstein, S, Brunner, D

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Inter-modal Raman amplification in space-division multiplexed systems von Zitelli, Mario, Andreoli, Louis, Autebert, Claire, Gauthier, Jean-Philippe, Labroille, Guillaume, Wabnitz, Stefan

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Spatial recurrent neural networks : from electro-optical towards all-optical von Andreoli, Louis

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Reservoir-Size Dependent Learning in Analogue Neural Networks von Porte, Xavier, Andreoli, Louis, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Convergence and scaling of Boolean-weight optimization for hardware reservoirs von Andreoli, Louis, Chrétien, Stéphane, Porte, Xavier, Brunner, Daniel

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Inter-Modal Raman Amplification in Space-division Multiplexed Systems von Zitelli, Mario, Andreoli, Louis, Autebert, Claire, Gauthier, Jean-Philippe, Labroille, Guillaume, Wabnitz, Stefan

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Boolean learning under noise-perturbations in hardware neural networks von Andreoli, Louis, Porte, Xavier, Chrétien, Stéphane, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Reservoir-size dependent learning in analogue neural networks von Porte, Xavier, Andreoli, Louis, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Convergence and scaling of Boolean-weight optimization for hardware reservoirs von Andreoli, Louis, Chrétien, Stéphane, Porte, Xavier, Brunner, Daniel

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Inter-Modal Raman Amplification in Space-division Multiplexed Systems von Zitelli, Mario, Andreoli, Louis, Autebert, Claire, Gauthier, Jean-Philippe, Labroille, Guillaume, Wabnitz, Stefan

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Fundamental aspects of noise in analog-hardware neural networks von Semenova, Nadezhda, Porte, Xavier, Andreoli, Louis, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Diffractive coupling for photonic networks: how big can we go? von Maktoobi, Sheler, Froehly, Luc, Andreoli, Louis, Porte, Xavier, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Reservoir-size dependent learning in analogue neural networks von Porte, Xavier, Andreoli, Louis, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel

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Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy von Cuenat, Stéphane, Andréoli, Louis, André, Antoine N, Sandoz, Patrick, Laurent, Guillaume J, Couturier, Raphaël, Jacquot, Maxime

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Sedimentary and elemental dynamics as a function of the elevation profile in a semi-arid mangrove toposequence von Bourgeois, Carine, Alfaro, Andrea C., Leopold, Audrey, Andréoli, Rémi, Bisson, Estelle, Desnues, Anne, Duprey, Jean Louis, Marchand, Cyril

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