Christian-Gernot Pehle

According to our database, Christian-Gernot Pehle authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks.

Todd Morrill, Christian Pehle, Anthony M. Zador

CoRR, March, 2026

Riemannian Optimization in Modular Systems.

Christian Pehle, Jean-Jacques E. Slotine

CoRR, March, 2026

Unlocked Backpropagation using Wave Scattering.

Christian Pehle, Jean-Jacques E. Slotine

CoRR, February, 2026

2025

Walking the Weight Manifold: a Topological Approach to Conditioning Inspired by Neuromodulation.

Ari S. Benjamin, Kyle Daruwalla, Christian Pehle, Anthony M. Zador

CoRR, May, 2025

2024

Emulating insect brains for neuromorphic navigation.

Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann, Christian Pehle, Eric Müller, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier

CoRR, 2024

Continual learning with the neural tangent ensemble.

Ari S. Benjamin, Christian-Gernot Pehle, Kyle Daruwalla

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware.

Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023

Gradient-based methods for spiking physical systems.

Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

Event-based Backpropagation for Analog Neuromorphic Hardware.

Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel

CoRR, 2023

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2.

Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

2022

Surrogate gradients for analog neuromorphic computing.

Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke

Proc. Natl. Acad. Sci. USA, 2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.

Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Leonard Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Christian Pehle, Johannes Schemmel

CoRR, 2022

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.

Christian Pehle, Sebastian Billaudelle, Benjamin Cramer, Jakob Kaiser, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Aron Leibfried, Eric Müller, Johannes Schemmel

CoRR, 2022

2021

Adjoint Equations of Spiking Neural Networks.

Christian Pehle

PhD thesis, 2021

2020

EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks.

Timo C. Wunderlich, Christian Pehle

CoRR, 2020

Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate.

Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke

CoRR, 2020

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware.

Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Closed-loop experiments on the BrainScaleS-2 architecture.

Korbinian Schreiber, Timo C. Wunderlich, Christian Pehle, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.

Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.

Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Neuromorphic Hardware learns to learn.

Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass

CoRR, 2019

2018

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture.

Syed Ahmed Aamir, Yannik Stradmann, Paul Müller, Christian Pehle, Andreas Hartel, Andreas Grübl, Johannes Schemmel, Karlheinz Meier

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study.

Timo Wunderlich, Ákos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

CoRR, 2018