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ORCIDGuillaume Bellec
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2020 – today
- 2024
[j3]Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi
, Wulfram Gerstner:
Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. Neural Networks 169: 622 (2024)- [i12]Martim Lisboa, Guillaume Bellec:
Spiking Music: Audio Compression with Event Based Auto-encoders. CoRR abs/2402.01571 (2024) - 2023
- [j2]Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
An exact mapping from ReLU networks to spiking neural networks. Neural Networks 168: 74-88 (2023) - [c9]Christos Sourmpis, Carl C. H. Petersen, Wulfram Gerstner, Guillaume Bellec:
Trial matching: capturing variability with data-constrained spiking neural networks. NeurIPS 2023 - [i11]Martin Barry, Guillaume Bellec, Wulfram Gerstner:
GateON: an unsupervised method for large scale continual learning. CoRR abs/2306.01690 (2023) - [i10]Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
Are training trajectories of deep single-spike and deep ReLU network equivalent? CoRR abs/2306.08744 (2023) - 2022
- [c8]Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner:
Mesoscopic modeling of hidden spiking neurons. NeurIPS 2022 - [i9]Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner:
Mesoscopic modeling of hidden spiking neurons. CoRR abs/2205.13493 (2022) - [i8]Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
An Exact Mapping From ReLU Networks to Spiking Neural Networks. CoRR abs/2212.12522 (2022) - 2021
- [c7]Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner:
Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS 2021: 18552-18563 - [c6]Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner:
Local plasticity rules can learn deep representations using self-supervised contrastive predictions. NeurIPS 2021: 30365-30379 - [i7]Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner:
Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR abs/2106.10064 (2021) - 2020
- [i6]Bernd Illing, Wulfram Gerstner, Guillaume Bellec:
Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity. CoRR abs/2010.08262 (2020)
2010 – 2019
- 2019
- [i5]Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass:
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets. CoRR abs/1901.09049 (2019) - 2018
- [c5]Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein:
Deep Rewiring: Training very sparse deep networks. ICLR (Poster) 2018 - [c4]Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass:
Long short-term memory and Learning-to-learn in networks of spiking neurons. NeurIPS 2018: 795-805 - [i4]Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass:
Long short-term memory and Learning-to-learn in networks of spiking neurons. CoRR abs/1803.09574 (2018) - 2017
- [c3]Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier:
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN 2017: 2227-2234 - [c2]Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, Robert D. St. Louis, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4 - [i3]Sebastian Schmitt, Johann Klaehn, Guillaume Bellec, Andreas Grübl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. CoRR abs/1703.01909 (2017) - [i2]Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR abs/1703.06043 (2017) - [i1]Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein:
Deep Rewiring: Training very sparse deep networks. CoRR abs/1711.05136 (2017) - 2016
- [j1]Guillaume Bellec, Mathieu Galtier, Romain Brette, Pierre Yger:
Slow feature analysis with spiking neurons and its application to audio stimuli. J. Comput. Neurosci. 40(3): 317-329 (2016) - 2014
- [c1]Daniel Wolff, Guillaume Bellec, Anders Friberg, Andrew MacFarlane, Tillman Weyde:
Creating Audio Based Experiments as Social Web Games with the CASimIR Framework. Semantic Audio 2014
Coauthor Index
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