Daniel Brunner

48 papers Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity. Neuromorph. Comput. Eng. Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner
2025	J	`jnl`	LEXam: Benchmarking Legal Reasoning on 340 Law Exams. CoRR Yu Fan, Jingwei Ni, Jakob Merane, Etienne Salimbeni, Yang Tian, Yoan Hermstrüwer, Yinya Huang, Mubashara Akhtar, Florian Geering, Oliver Dreyer, Daniel Brunner, Markus Leippold, Mrinmaya Sachan, Alexander Stremitzer, Christoph Engel, Elliott Ash, Joel Niklaus
2025	J	`jnl`	Limits of nonlinear and dispersive fiber propagation for photonic extreme learning. CoRR Andrei Ermolaev, Mathilde Hary, Lev Leybov, Piotr Ryczkowski, Anas Skalli, Daniel Brunner, Goëry Genty, John M. Dudley
2025	J	`jnl`	Model-free front-to-end training of a large high performance laser neural network. CoRR Anas Skalli, Satoshi Sunada, Mirko Goldmann, Marcin Gebski, Stephan Reitzenstein, James A. Lott, Tomasz Czyszanowski, Daniel Brunner
2025	J	`jnl`	Principles and Metrics of Extreme Learning Machines Using a Highly Nonlinear Fiber. CoRR Mathilde Hary, Daniel Brunner, Lev Leybov, Piotr Ryczkowski, John M. Dudley, Goëry Genty
2025	J	`jnl`	Roadmap on Neuromorphic Photonics. CoRR 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, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro J. Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, Douglas J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera
2025	—	`conf`	SwiLTra-Bench: The Swiss Legal Translation Benchmark. ACL (1) 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, Boling Yang, Nan Wu, Matthew Guillod, Robin Mamié, Daniel Brunner, Julio Pereyra, Niko Grupen
2025	J	`jnl`	SwiLTra-Bench: The Swiss Legal Translation Benchmark. CoRR 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, Boling Yang, Nan Wu, Matthew Guillod, Robin Mamié, Daniel Brunner, Julio Pereyra, Niko Grupen
2025	J	`jnl`	Training of physical neural networks. Nat. 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
2024	J	`jnl`	A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity. CoRR Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner
2024	J	`jnl`	Annealing-inspired training of an optical neural network with ternary weights. CoRR Anas Skalli, Mirko Goldmann, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
2024	J	`jnl`	Experimental reservoir computing with diffractively coupled VCSELs. CoRR Moritz Pflüger, Daniel Brunner, Tobias Heuser, James A. Lott, Stephan Reitzenstein, Ingo Fischer
2024	J	`jnl`	Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies. CoRR Nadezhda Semenova, Daniel Brunner
2024	J	`jnl`	Training of Physical Neural Networks. CoRR 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
2023	J	`jnl`	Automatic Anonymization of Swiss Federal Supreme Court Rulings. CoRR Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli
2023	J	`jnl`	Bayesian Optimisation of Large-scale Photonic Reservoir Computers. Cogn. Comput. Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
2023	J	`jnl`	Convergence and scaling of Boolean-weight optimization for hardware reservoirs. CoRR Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner
2022	—	`conf`	A semiconductor laser stand-alone neural network. OECC/PSC Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
2022	J	`jnl`	Hands-on reservoir computing: a tutorial for practical implementation. Neuromorph. Comput. Eng. Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner, Hans Kleemann
2022	J	`jnl`	Noise mitigation strategies in physical feedforward neural networks. CoRR Nadezhda Semenova, Daniel Brunner
2022	J	`jnl`	Understanding and mitigating noise in trained deep neural networks. Neural Networks Nadezhda Semenova, Laurent Larger, Daniel Brunner
2021	J	`jnl`	Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. CoRR Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
2021	J	`jnl`	Nonlinear photonic dynamical systems for unconventional computing. CoRR Daniel Brunner, Laurent Larger, Miguel C. Soriano
2021	J	`jnl`	Photonic neuromorphic computing using vertical cavity semiconductor lasers. CoRR Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, Daniel Brunner
2021	J	`jnl`	Prospects and applications of photonic neural networks. CoRR 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
2021	J	`jnl`	The general aspects of noise in analogue hardware deep neural networks. CoRR Nadezhda Semenova, Laurent Larger, Daniel Brunner
2021	J	`jnl`	Tutorial: Photonic Neural Networks in Delay Systems. CoRR Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, Ingo Fischer, Laurent Larger
2020	J	`jnl`	A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. CoRR Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
2020	J	`jnl`	Analysis of a Tubular Torsionally Resonating Viscosity-Density Sensor. Sensors Daniel Brunner, Joe Goodbread, Klaus Häusler, Sunil Kumar, Gernot Boiger, Hassan A. Khawaja
2020	J	`jnl`	Bayesian optimisation of large-scale photonic reservoir computers. CoRR Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
2020	J	`jnl`	Boolean learning under noise-perturbations in hardware neural networks. CoRR Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
2020	J	`jnl`	Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays. CoRR Tobias Heuser, Moritz Pflüger, Ingo Fischer, James A. Lott, Daniel Brunner, Stephan Reitzenstein
2020	J	`jnl`	Human action recognition with a large-scale brain-inspired photonic computer. CoRR Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
2020	J	`jnl`	Optical Neural Networks: The 3D connection. CoRR Niyazi Ulas Dinç, Demetri Psaltis, Daniel Brunner
2019	—	`conf`	Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer. ICANN (Workshop) Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
2019	—	`conf`	Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer. ICANN (Workshop) Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
2019	J	`jnl`	Coupled nonlinear delay systems as deep convolutional neural networks. CoRR Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Fundamental aspects of noise in analog-hardware neural networks. CoRR Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Human action recognition with a large-scale brain-inspired photonic computer. Nat. Mach. Intell. Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
2019	—	`conf`	Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Reservoir-size dependent learning in analogue neural networks. CoRR Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. CoRR Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
2018	J	`jnl`	Efficient Design of Hardware-Enabled Recurrent Neural Networks. CoRR Bogdan Penkovsky, Laurent Larger, Daniel Brunner
2017	—	`conf`	Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. ICRC Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger, Maxime Jacquot, Yanne K. Chembo, Daniel Brunner
2017	J	`jnl`	Reinforcement Learning in a large scale photonic Recurrent Neural Network. CoRR Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner
2017	—	`conf`	Teaching Students of Engineering some Insights of the Internet of Things using Racket and the RaspberryPi. ELS Daniel Brunner, Stephan Brunner
2016	—	`conf`	All-optical neuromorphic computing in optical networks of semiconductor lasers. ICRC Daniel Brunner, Stephan Reitzenstein, Ingo Fischer
2015	J	`jnl`	Minimal approach to neuro-inspired information processing. Frontiers Comput. Neurosci. Miguel C. Soriano, Daniel Brunner, Miguel Angel Escalona-Morán, Claudio R. Mirasso, Ingo Fischer