Friedemann Zenke

44 papers A* 8A 3Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dreamer-CDP: Improving Reconstruction-free World Models Via Continuous Deterministic Representation Prediction. CoRR Michael Hauri, Friedemann Zenke
2025	A	`conf`	Efficient Streaming Speech Quality Prediction with Spiking Neural Networks. INTERSPEECH Mattias Nilsson, Riccardo Miccini, Julian Rossbroich, Clément Laroche, Tobias Piechowiak, Friedemann Zenke
2025	J	`jnl`	Teaching signal synchronization in deep neural networks with prospective neurons. CoRR Nicolas Zucchet, Qianqian Feng, Axel Laborieux, Friedemann Zenke, Walter Senn, João Sacramento
2024	—	`conf`	Decoding Finger Velocity from Cortical Spike Trains with Recurrent Spiking Neural Networks. BioCAS Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke
2024	J	`jnl`	Decoding finger velocity from cortical spike trains with recurrent spiking neural networks. CoRR Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke
2024	J	`jnl`	Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks. CoRR Julia Gygax, Friedemann Zenke
2024	A*	`conf`	Improving equilibrium propagation without weight symmetry through Jacobian homeostasis. ICLR Axel Laborieux, Friedemann Zenke
2024	A*	`conf`	Invited: Achieving PetaOps/W Edge-AI Processing. DAC Manil Dev Gomony, Bas Ahn, Rick Luiken, Yashvardhan Biyani, Anteneh Gebregiorgis, Axel Laborieux, Friedemann Zenke, Said Hamdioui, Henk Corporaal
2024	A	`conf`	Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps. INTERSPEECH Mattias Nilsson, Riccardo Miccini, Clement Laroche, Tobias Piechowiak, Friedemann Zenke
2024	J	`jnl`	Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps. CoRR Mattias Nilsson, Riccardo Miccini, Clément Laroche, Tobias Piechowiak, Friedemann Zenke
2024	J	`jnl`	Theories of synaptic memory consolidation and intelligent plasticity for continual learning. CoRR Friedemann Zenke, Axel Laborieux
2023	A*	`conf`	Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity. NeurIPS Julian Rossbroich, Friedemann Zenke
2023	J	`jnl`	Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity. CoRR Julian Rossbroich, Friedemann Zenke
2023	J	`jnl`	Editorial: Focus issue on machine learning for neuromorphic engineering. Neuromorph. Comput. Eng. Melika Payvand, Emre Neftci, Friedemann Zenke
2023	A*	`conf`	Implicit variance regularization in non-contrastive SSL. NeurIPS Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
2023	J	`jnl`	Improving equilibrium propagation without weight symmetry through Jacobian homeostasis. CoRR Axel Laborieux, Friedemann Zenke
2023	A	`conf`	PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE 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 K. Gürkaynak, 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
2022	J	`jnl`	Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware. CoRR Simon F. Müller-Cleve, Vittorio Fra, Lyes Khacef, Alejandro Pequeño-Zurro, Daniel Klepatsch, Evelina Forno, Diego Gigena Ivanovich, Shavika Rastogi, Gianvito Urgese, Friedemann Zenke, Chiara Bartolozzi
2022	J	`jnl`	Fluctuation-driven initialization for spiking neural network training. CoRR Julian Rossbroich, Julia Gygax, Friedemann Zenke
2022	J	`jnl`	Fluctuation-driven initialization for spiking neural network training. Neuromorph. Comput. Eng. Julian Rossbroich, Julia Gygax, Friedemann Zenke
2022	A*	`conf`	Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations. NeurIPS Axel Laborieux, Friedemann Zenke
2022	J	`jnl`	Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations. CoRR Axel Laborieux, Friedemann Zenke
2022	J	`jnl`	Predictor networks and stop-grads provide implicit variance regularization in BYOL/SimSiam. CoRR Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
2022	J	`jnl`	Surrogate gradients for analog neuromorphic computing. Proc. Natl. Acad. Sci. USA Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
2022	J	`jnl`	The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
2021	J	`jnl`	Brain-Inspired Learning on Neuromorphic Substrates. Proc. IEEE Friedemann Zenke, Emre O. Neftci
2021	J	`jnl`	The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks. Neural Comput. Friedemann Zenke, Tim P. Vogels
2020	A*	`conf`	A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. NeurIPS Basile Confavreux, Friedemann Zenke, Everton J. Agnes, Timothy P. Lillicrap, Tim P. Vogels
2020	J	`jnl`	Brain-Inspired Learning on Neuromorphic Substrates. CoRR Friedemann Zenke, Emre O. Neftci
2020	A*	`conf`	Finding trainable sparse networks through Neural Tangent Transfer. ICML Tianlin Liu, Friedemann Zenke
2020	J	`jnl`	Finding trainable sparse networks through Neural Tangent Transfer. CoRR Tianlin Liu, Friedemann Zenke
2020	J	`jnl`	Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate. CoRR Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
2019	J	`jnl`	Surrogate Gradient Learning in Spiking Neural Networks. CoRR Emre O. Neftci, Hesham Mostafa, Friedemann Zenke
2019	J	`jnl`	Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks. IEEE Signal Process. Mag. Emre O. Neftci, Hesham Mostafa, Friedemann Zenke
2019	J	`jnl`	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks. CoRR Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
2018	J	`jnl`	SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks. Neural Comput. Friedemann Zenke, Surya Ganguli
2017	A*	`conf`	Continual Learning Through Synaptic Intelligence. ICML Friedemann Zenke, Ben Poole, Surya Ganguli
2017	J	`jnl`	Improved multitask learning through synaptic intelligence. CoRR Friedemann Zenke, Ben Poole, Surya Ganguli
2017	—	`conf`	Intelligent synapses for multi-task and transfer learning. ICLR (Workshop) Ben Poole, Friedemann Zenke, Surya Ganguli
2017	J	`jnl`	SuperSpike: Supervised learning in multi-layer spiking neural networks. CoRR Friedemann Zenke, Surya Ganguli
2015	J	`jnl`	Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. Frontiers Comput. Neurosci. Matthieu Gilson, Cristina Savin, Friedemann Zenke
2014	J	`jnl`	Limits to high-speed simulations of spiking neural networks using general-purpose computers. Frontiers Neuroinformatics Friedemann Zenke, Wulfram Gerstner
2014	—	`—`	Memory formation and recall in recurrent spiking neural networks. Friedemann Zenke
2013	J	`jnl`	Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector. PLoS Comput. Biol. Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner