Friedemann Zenke

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Theoretical Underpinnings

Systematic Evaluation

Maximum Variance

Top Venues

Publications

Axel Laborieux, Friedemann Zenke
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis. ICLR (2024)
Mattias Nilsson, Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Friedemann Zenke
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps. CoRR (2024)
Julia Gygax, Friedemann Zenke
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks. CoRR (2024)
Friedemann Zenke, Axel Laborieux
Theories of synaptic memory consolidation and intelligent plasticity for continual learning. CoRR (2024)
Melika Payvand, Emre Neftci, Friedemann Zenke
Editorial: Focus issue on machine learning for neuromorphic engineering. Neuromorph. Comput. Eng. 3 (3) (2023)
Julian Rossbroich, Friedemann Zenke
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity. CoRR (2023)
Axel Laborieux, Friedemann Zenke
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis. CoRR (2023)
Julian Rossbroich, Friedemann Zenke
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity. NeurIPS (2023)
Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
Implicit variance regularization in non-contrastive SSL. NeurIPS (2023)
Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank Gurkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal
PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE (2023)
Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
Surrogate gradients for analog neuromorphic computing. Proc. Natl. Acad. Sci. USA 119 (4) (2022)
Axel Laborieux, Friedemann Zenke
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations. CoRR (2022)
Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
Predictor networks and stop-grads provide implicit variance regularization in BYOL/SimSiam. CoRR (2022)
Julian Rossbroich, Julia Gygax, Friedemann Zenke
Fluctuation-driven initialization for spiking neural network training. Neuromorph. Comput. Eng. 2 (4) (2022)
Julian Rossbroich, Julia Gygax, Friedemann Zenke
Fluctuation-driven initialization for spiking neural network training. CoRR (2022)
Simon F. Muller-Cleve, Vittorio Fra, Lyes Khacef, Alejandro Pequeño-Zurro, Daniel Klepatsch, Evelina Forno, Diego Gigena Ivanovich, Shavika Rastogi, Gianvito Urgese, Friedemann Zenke, Chiara Bartolozzi
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware. CoRR (2022)
Axel Laborieux, Friedemann Zenke
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations. NeurIPS (2022)
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Friedemann Zenke, Emre O. Neftci
Brain-Inspired Learning on Neuromorphic Substrates. Proc. IEEE 109 (5) (2021)
Friedemann Zenke, Tim P. Vogels
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks. Neural Comput. 33 (4) (2021)
Basile Confavreux, Friedemann Zenke, Everton J. Agnes, Timothy P. Lillicrap, Tim P. Vogels
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. NeurIPS (2020)
Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate. CoRR (2020)
Tianlin Liu, Friedemann Zenke
Finding trainable sparse networks through Neural Tangent Transfer. CoRR (2020)
Tianlin Liu, Friedemann Zenke
Finding trainable sparse networks through Neural Tangent Transfer. ICML (2020)
Friedemann Zenke, Emre O. Neftci
Brain-Inspired Learning on Neuromorphic Substrates. CoRR (2020)
Emre O. Neftci, Hesham Mostafa, Friedemann Zenke
Surrogate Gradient Learning in Spiking Neural Networks. CoRR (2019)
Emre O. Neftci, Hesham Mostafa, Friedemann Zenke
Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks. IEEE Signal Process. Mag. 36 (6) (2019)
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks. CoRR (2019)
Friedemann Zenke, Surya Ganguli
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks. Neural Comput. 30 (6) (2018)
Ben Poole, Friedemann Zenke, Surya Ganguli
Intelligent synapses for multi-task and transfer learning. ICLR (Workshop) (2017)
Friedemann Zenke, Ben Poole, Surya Ganguli
Improved multitask learning through synaptic intelligence. CoRR (2017)
Friedemann Zenke, Surya Ganguli
SuperSpike: Supervised learning in multi-layer spiking neural networks. CoRR (2017)
Friedemann Zenke, Ben Poole, Surya Ganguli
Continual Learning Through Synaptic Intelligence. ICML (2017)
Matthieu Gilson, Cristina Savin, Friedemann Zenke
Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. Frontiers Comput. Neurosci. 9 (2015)
Friedemann Zenke, Wulfram Gerstner
Limits to high-speed simulations of spiking neural networks using general-purpose computers. Frontiers Neuroinformatics 8 (2014)
Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector. PLoS Comput. Biol. 9 (11) (2013)