Daniel Brunner

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Spatio Temporal Interest Points

Hypothetical Reasoning

Top Venues

ICANN (Workshop)

Publications

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
Training of Physical Neural Networks. CoRR (2024)
Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner
Convergence and scaling of Boolean-weight optimization for hardware reservoirs. CoRR (2023)
Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli
Automatic Anonymization of Swiss Federal Supreme Court Rulings. CoRR (2023)
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Bayesian Optimisation of Large-scale Photonic Reservoir Computers. Cogn. Comput. 15 (5) (2023)
Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner, Hans Kleemann
Hands-on reservoir computing: a tutorial for practical implementation. Neuromorph. Comput. Eng. 2 (3) (2022)
Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
A semiconductor laser stand-alone neural network. OECC/PSC (2022)
Nadezhda Semenova, Daniel Brunner
Noise mitigation strategies in physical feedforward neural networks. CoRR (2022)
Nadezhda Semenova, Laurent Larger, Daniel Brunner
Understanding and mitigating noise in trained deep neural networks. Neural Networks 146 (2022)
Daniel Brunner, Laurent Larger, Miguel C. Soriano
Nonlinear photonic dynamical systems for unconventional computing. CoRR (2021)
Nadezhda Semenova, Laurent Larger, Daniel Brunner
The general aspects of noise in analogue hardware deep neural networks. CoRR (2021)
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
Prospects and applications of photonic neural networks. CoRR (2021)
Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, Daniel Brunner
Photonic neuromorphic computing using vertical cavity semiconductor lasers. CoRR (2021)
Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, I. Fischer, Laurent Larger
Tutorial: Photonic Neural Networks in Delay Systems. CoRR (2021)
Niyazi Ulas Dinç, Demetri Psaltis, Daniel Brunner
Optical Neural Networks: The 3D connection. CoRR (2020)
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Bayesian optimisation of large-scale photonic reservoir computers. CoRR (2020)
Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. CoRR (2020)
Daniel Brunner, Joe Goodbread, Klaus Häusler, Sunil Kumar, Gernot Boiger, Hassan A. Khawaja
Analysis of a Tubular Torsionally Resonating Viscosity-Density Sensor. Sensors 20 (11) (2020)
T. Heuser, M. Pflüger, Ingo Fischer, James A. Lott, Daniel Brunner, Stephan Reitzenstein
Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays. CoRR (2020)
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Human action recognition with a large-scale brain-inspired photonic computer. CoRR (2020)
Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Boolean learning under noise-perturbations in hardware neural networks. CoRR (2020)
Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) (2019)
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer. ICANN (Workshop) (2019)
Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner
Coupled nonlinear delay systems as deep convolutional neural networks. CoRR (2019)
Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Fundamental aspects of noise in analog-hardware neural networks. CoRR (2019)
Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reservoir-size dependent learning in analogue neural networks. CoRR (2019)
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Human action recognition with a large-scale brain-inspired photonic computer. Nat. Mach. Intell. 1 (11) (2019)
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer. ICANN (Workshop) (2019)
Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. CoRR (2019)
Bogdan Penkovsky, Laurent Larger, Daniel Brunner
Efficient Design of Hardware-Enabled Recurrent Neural Networks. CoRR (2018)
Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger, Maxime Jacquot, Yanne K. Chembo, Daniel Brunner
Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. ICRC (2017)
Daniel Brunner, Stephan Brunner
Teaching Students of Engineering some Insights of the Internet of Things using Racket and the RaspberryPi. ELS (2017)
Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reinforcement Learning in a large scale photonic Recurrent Neural Network. CoRR (2017)
Daniel Brunner, Stephan Reitzenstein, Ingo Fischer
All-optical neuromorphic computing in optical networks of semiconductor lasers. ICRC (2016)
Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Moran, Claudio R. Mirasso, Ingo Fischer
Minimal approach to neuro-inspired information processing. Frontiers Comput. Neurosci. 9 (2015)