Minimal approach to neuro-inspired information processing. - Miguel C. Soriano; Daniel Brunner; Miguel Angel Escalona-Morán; Claudio R. Mirasso; Ingo Fischer (Frontiers Comput. Neurosci., 2015)

All-optical neuromorphic computing in optical networks of semiconductor lasers. - Daniel Brunner; Stephan Reitzenstein; Ingo Fischer (ICRC, 2016)

Teaching Students of Engineering some Insights of the Internet of Things using Racket and the RaspberryPi. - Daniel Brunner; Stephan Brunner (ELS, 2017)

Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. - Bicky A. Marquez; Jose Suarez-Vargas; Laurent Larger; Maxime Jacquot; Yanne K. Chembo; Daniel Brunner (ICRC, 2017)

Reinforcement Learning in a large scale photonic Recurrent Neural Network. - Julian Bueno; Sheler Maktoobi; Luc Froehly; Ingo Fischer; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2017)

Efficient Design of Hardware-Enabled Recurrent Neural Networks. - Bogdan Penkovsky; Laurent Larger; Daniel Brunner (CoRR, 2018)

Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer. - Piotr Antonik; Nicolas Marsal; Daniel Brunner; Damien Rontani (ICANN (Workshop), 2019)

Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer. - Piotr Antonik; Nicolas Marsal; Daniel Brunner; Damien Rontani (ICANN (Workshop), 2019)

Reservoir-Size Dependent Learning in Analogue Neural Networks. - Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (ICANN (Workshop), 2019)

Coupled nonlinear delay systems as deep convolutional neural networks. - Bogdan Penkovsky; Xavier Porte; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

Fundamental aspects of noise in analog-hardware neural networks. - Nadezhda Semenova; Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. - Johnny Moughames; Xavier Porte; Michael Thiel; Gwenn Ulliac; Maxime Jacquot; Laurent Larger; Muamer Kadic; Daniel Brunner (CoRR, 2019)

Human action recognition with a large-scale brain-inspired photonic computer. - Piotr Antonik; Nicolas Marsal; Daniel Brunner; Damien Rontani (Nat. Mach. Intell., 2019)

Boolean learning under noise-perturbations in hardware neural networks. - Louis Andreoli; Xavier Porte; Stéphane Chrétien; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2020)

Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays. - Tobias Heuser; Moritz Pflüger; Ingo Fischer; James A. Lott; Daniel Brunner; Stephan Reitzenstein (CoRR, 2020)

Optical Neural Networks: The 3D connection. - Niyazi Ulas Dinç; Demetri Psaltis; Daniel Brunner (CoRR, 2020)

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. - Xavier Porte; Anas Skalli; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2020)

Analysis of a Tubular Torsionally Resonating Viscosity-Density Sensor. - Daniel Brunner; Joe Goodbread; Klaus Häusler; Sunil Kumar; Gernot Boiger; Hassan A. Khawaja (Sensors, 2020)

The general aspects of noise in analogue hardware deep neural networks. - Nadezhda Semenova; Laurent Larger; Daniel Brunner (CoRR, 2021)

Prospects and applications of photonic neural networks. - Chaoran Huang 004; Volker J. Sorger; Mario Miscuglio; Mohammed Al-Qadasi; Avilash Mukherjee; Sudip Shekhar; Lukas Chrostowski; Lutz Lampe; Mitchell Nichols; Mable P. Fok; Daniel Brunner; Alexander N. Tait; et al. (CoRR, 2021)

Nonlinear photonic dynamical systems for unconventional computing. - Daniel Brunner; Laurent Larger; Miguel C. Soriano (CoRR, 2021)

Tutorial: Photonic Neural Networks in Delay Systems. - Daniel Brunner; Bogdan Penkovsky; Bicky A. Marquez; M. Jaquot; Ingo Fischer; Laurent Larger (CoRR, 2021)

Photonic neuromorphic computing using vertical cavity semiconductor lasers. - Anas Skalli; Joshua Robertson; Dafydd Owen-Newns; Matej Hejda; Xavier Porte; Stephan Reitzenstein; Antonio Hurtado; Daniel Brunner (CoRR, 2021)

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. - Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2021)

A semiconductor laser stand-alone neural network. - Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (OECC/PSC, 2022)

Noise mitigation strategies in physical feedforward neural networks. - Nadezhda Semenova; Daniel Brunner (CoRR, 2022)

Hands-on reservoir computing: a tutorial for practical implementation. - Matteo Cucchi; Steven Abreu; Giuseppe Ciccone; Daniel Brunner; Hans Kleemann (Neuromorph. Comput. Eng., 2022)

Understanding and mitigating noise in trained deep neural networks. - Nadezhda Semenova; Laurent Larger; Daniel Brunner (Neural Networks, 2022)

Convergence and scaling of Boolean-weight optimization for hardware reservoirs. - Louis Andreoli; Stéphane Chrétien; Xavier Porte; Daniel Brunner (CoRR, 2023)

Automatic Anonymization of Swiss Federal Supreme Court Rulings. - Joel Niklaus; Robin Mamié; Matthias Stürmer; Daniel Brunner; Marcel Gygli (CoRR, 2023)

Bayesian Optimisation of Large-scale Photonic Reservoir Computers. - Piotr Antonik; Nicolas Marsal; Daniel Brunner; Damien Rontani (Cogn. Comput., 2023)

Annealing-inspired training of an optical neural network with ternary weights. - Anas Skalli; Mirko Goldmann; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2024)

Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies. - Nadezhda Semenova; Daniel Brunner (CoRR, 2024)

A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity. - Ria Talukder; Anas Skalli; Xavier Porte; Simon Thorpe; Daniel Brunner (CoRR, 2024)

Experimental reservoir computing with diffractively coupled VCSELs. - Moritz Pflüger; Daniel Brunner; Tobias Heuser; James A. Lott; Stephan Reitzenstein; Ingo Fischer (CoRR, 2024)

SwiLTra-Bench: The Swiss Legal Translation Benchmark. - Joel Niklaus; Jakob Merane; Luka Nenadic; Sina Ahmadi; Yingqiang Gao; Cyrill A. H. Chevalley; Claude Humbel; Christophe Gösken; Lorenzo Tanzi; Thomas Lüthi; Stefan Palombo; Spencer Poff; et al. (ACL (1), 2025)

A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity. - Ria Talukder; Anas Skalli; Xavier Porte; Simon Thorpe; Daniel Brunner (Neuromorph. Comput. Eng., 2025)

Principles and Metrics of Extreme Learning Machines Using a Highly Nonlinear Fiber. - Mathilde Hary; Daniel Brunner; Lev Leybov; Piotr Ryczkowski; John M. Dudley; Goëry Genty (CoRR, 2025)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

Limits of nonlinear and dispersive fiber propagation for photonic extreme learning. - Andrei Ermolaev; Mathilde Hary; Lev Leybov; Piotr Ryczkowski; Anas Skalli; Daniel Brunner; Goëry Genty; John M. Dudley (CoRR, 2025)

Model-free front-to-end training of a large high performance laser neural network. - Anas Skalli; Satoshi Sunada; Mirko Goldmann; Marcin Gebski; Stephan Reitzenstein; James A. Lott; Tomasz Czyszanowski; Daniel Brunner (CoRR, 2025)

LEXam: Benchmarking Legal Reasoning on 340 Law Exams. - Yu Fan; Jingwei Ni; Jakob Merane; Etienne Salimbeni; Yang Tian; Yoan Hermstrüwer; Yinya Huang; Mubashara Akhtar; Florian Geering; Oliver Dreyer; Daniel Brunner; Markus Leippold; et al. (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)