Daniel Brunner

According to our database, Daniel Brunner authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Training of Physical Neural Networks.

Ali Momeni, 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, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury

CoRR, 2024

2023

Bayesian Optimisation of Large-scale Photonic Reservoir Computers.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Cogn. Comput., September, 2023

Automatic Anonymization of Swiss Federal Supreme Court Rulings.

Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli

CoRR, 2023

Convergence and scaling of Boolean-weight optimization for hardware reservoirs.

Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner

CoRR, 2023

2022

Understanding and mitigating noise in trained deep neural networks.

Nadezhda Semenova, Laurent Larger, Daniel Brunner

Neural Networks, 2022

Hands-on reservoir computing: a tutorial for practical implementation.

Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner, Hans Kleemann

Neuromorph. Comput. Eng., 2022

Noise mitigation strategies in physical feedforward neural networks.

Nadezhda Semenova, Daniel Brunner

CoRR, 2022

A semiconductor laser stand-alone neural network.

Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

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

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

Tutorial: Photonic Neural Networks in Delay Systems.

Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, I. Fischer, Laurent Larger

CoRR, 2021

Nonlinear photonic dynamical systems for unconventional computing.

Daniel Brunner, Laurent Larger, Miguel C. Soriano

CoRR, 2021

Prospects and applications of photonic neural networks.

Chaoran Huang, 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, Thomas Ferreira de Lima, Bicky A. Marquez, Paul R. Prucnal, Bhavin J. Shastri

CoRR, 2021

The general aspects of noise in analogue hardware deep neural networks.

Nadezhda Semenova, Laurent Larger, Daniel Brunner

CoRR, 2021

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

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

Optical Neural Networks: The 3D connection.

Niyazi Ulas Dinç, Demetri Psaltis, Daniel Brunner

CoRR, 2020

Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays.

Tobias Heuser, M. Pflüger, Ingo Fischer, James A. Lott, Daniel Brunner, Stephan Reitzenstein

CoRR, 2020

Boolean learning under noise-perturbations in hardware neural networks.

Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2020

2019

Human action recognition with a large-scale brain-inspired photonic computer.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Nat. Mach. Intell., 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

Fundamental aspects of noise in analog-hardware neural networks.

Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Coupled nonlinear delay systems as deep convolutional neural networks.

Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Reservoir-Size Dependent Learning in Analogue Neural Networks.

Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Efficient Design of Hardware-Enabled Recurrent Neural Networks.

Bogdan Penkovsky, Laurent Larger, Daniel Brunner

CoRR, 2018

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

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

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Teaching Students of Engineering some Insights of the Internet of Things using Racket and the RaspberryPi.

Daniel Brunner, Stephan Brunner

Proceedings of the 10th European Lisp Symposium (ELS 2017), 2017

2016

All-optical neuromorphic computing in optical networks of semiconductor lasers.

Daniel Brunner, Stephan Reitzenstein, Ingo Fischer

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

2015

Minimal approach to neuro-inspired information processing.

Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Moran, Claudio R. Mirasso, Ingo Fischer

Frontiers Comput. Neurosci., 2015