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Daniel Brunner
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2020 – today
- 2024
- [i23]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 abs/2406.03372 (2024) - [i22]Anas Skalli, Mirko Goldmann, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
Annealing-inspired training of an optical neural network with ternary weights. CoRR abs/2409.01042 (2024) - 2023
- [j6]Piotr Antonik
Bayesian Optimisation of Large-scale Photonic Reservoir Computers. Cogn. Comput. 15(5): 1452-1460 (2023) - [i21]Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner:
Convergence and scaling of Boolean-weight optimization for hardware reservoirs. CoRR abs/2305.07908 (2023) - [i20]Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli:
Automatic Anonymization of Swiss Federal Supreme Court Rulings. CoRR abs/2310.04632 (2023) - 2022
- [j5]Matteo Cucchi, Steven Abreu
Hands-on reservoir computing: a tutorial for practical implementation. Neuromorph. Comput. Eng. 2(3): 32002 (2022) - [j4]Nadezhda Semenova
Understanding and mitigating noise in trained deep neural networks. Neural Networks 146: 151-160 (2022) - [c7]Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
A semiconductor laser stand-alone neural network. OECC/PSC 2022: 1-3 - [i19]Nadezhda Semenova, Daniel Brunner:
Noise mitigation strategies in physical feedforward neural networks. CoRR abs/2204.09461 (2022) - 2021
- [i18]Nadezhda Semenova
The general aspects of noise in analogue hardware deep neural networks. CoRR abs/2103.07413 (2021) - [i17]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 abs/2105.09943 (2021) - [i16]Daniel Brunner, Laurent Larger, Miguel C. Soriano:
Nonlinear photonic dynamical systems for unconventional computing. CoRR abs/2107.08874 (2021) - [i15]Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, I. Fischer, Laurent Larger:
Tutorial: Photonic Neural Networks in Delay Systems. CoRR abs/2111.03332 (2021) - [i14]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 abs/2112.08086 (2021) - [i13]Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. CoRR abs/2112.08947 (2021) - 2020
- [j3]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): 3036 (2020) - [i12]Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Boolean learning under noise-perturbations in hardware neural networks. CoRR abs/2003.12319 (2020) - [i11]Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani:
Bayesian optimisation of large-scale photonic reservoir computers. CoRR abs/2004.02535 (2020) - [i10]Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani:
Human action recognition with a large-scale brain-inspired photonic computer. CoRR abs/2004.02545 (2020) - [i9]Tobias 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 abs/2006.13933 (2020) - [i8]Niyazi Ulas Dinç, Demetri Psaltis, Daniel Brunner:
Optical Neural Networks: The 3D connection. CoRR abs/2008.12605 (2020) - [i7]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 abs/2012.11153 (2020)
2010 – 2019
- 2019
- [j2]Piotr Antonik
Human action recognition with a large-scale brain-inspired photonic computer. Nat. Mach. Intell. 1(11): 530-537 (2019) - [c6]Piotr Antonik
Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer. ICANN (Workshop) 2019: 156-160 - [c5]Piotr Antonik
Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer. ICANN (Workshop) 2019: 175-179 - [c4]Xavier Porte
Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) 2019: 184-192 - [i6]Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Coupled nonlinear delay systems as deep convolutional neural networks. CoRR abs/1902.05608 (2019) - [i5]Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Fundamental aspects of noise in analog-hardware neural networks. CoRR abs/1907.09002 (2019) - [i4]Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reservoir-size dependent learning in analogue neural networks. CoRR abs/1908.08021 (2019) - [i3]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 abs/1912.08203 (2019) - 2018
- [i2]Bogdan Penkovsky, Laurent Larger, Daniel Brunner:
Efficient Design of Hardware-Enabled Recurrent Neural Networks. CoRR abs/1805.03033 (2018) - 2017
- [c3]Daniel Brunner, Stephan Brunner:
Teaching Students of Engineering some Insights of the Internet of Things using Racket and the RaspberryPi. ELS 2017: 49-50 - [c2]Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger
Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. ICRC 2017: 1-4 - [i1]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 abs/1711.05133 (2017) - 2016
- [c1]Daniel Brunner, Stephan Reitzenstein, Ingo Fischer
All-optical neuromorphic computing in optical networks of semiconductor lasers. ICRC 2016: 1-2 - 2015
- [j1]Miguel C. Soriano
Minimal approach to neuro-inspired information processing. Frontiers Comput. Neurosci. 9: 68 (2015)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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