The Yin-Yang dataset

The Yin-Yang dataset

16 February 2021

Mihai A. Petrovici

Papers citing "The Yin-Yang dataset"

13 / 13 papers shown

Title
Causal pieces: analysing and improving spiking neural networks piece by piece Dominik Dold Philipp Christian Petersen CML 38 0 0 18 Apr 2025
Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models Nava Haghighi Sunny Yu James Landay Daniela Rosner 29 0 0 03 Apr 2025
Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing T. Boccato D. Zendrikov N. Toschi Giacomo Indiveri 34 0 0 25 Oct 2024
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance Osama Yousuf Brian D. Hoskins Karthick Ramu Mitchell Fream W. A. Borders ... M. Daniels A. Dienstfrey Jabez J. McClelland Martin Lueker-Boden Gina Adam 26 1 0 24 Apr 2024
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware Eric Müller Moritz Althaus E. Arnold Philipp Spilger Christian Pehle Johannes Schemmel 14 5 0 30 Jan 2024
Gradient-based methods for spiking physical systems Julian Goltz Sebastian Billaudelle Laura Kriener Luca Blessing Christian Pehle Eric Müller Johannes Schemmel Mihai A. Petrovici AI4CE 11 2 0 29 Aug 2023
Event-based Backpropagation for Analog Neuromorphic Hardware Christian Pehle Luca Blessing E. Arnold Eric Müller Johannes Schemmel 16 7 0 13 Feb 2023
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2 Philipp Spilger E. Arnold Luca Blessing Christian Mauch Christian Pehle Eric Müller Johannes Schemmel 11 10 0 23 Dec 2022
Learning efficient backprojections across cortical hierarchies in real time Kevin Max Laura Kriener Garibaldi Pineda García Thomas Nowotny Ismael Jaras Walter Senn Mihai A. Petrovici OOD 17 14 0 20 Dec 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 25 0 0 18 Oct 2022
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks Luke Taylor Andrew J. King N. Harper AAML 19 9 0 30 May 2022
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware Eric Müller E. Arnold O. Breitwieser Milena Czierlinski Arne Emmel ... V. Karasenko Mitja Kleider Aron Leibfried Christian Pehle Johannes Schemmel 22 20 0 21 Mar 2022
Fast and energy-efficient neuromorphic deep learning with first-spike times Julian Goltz Laura Kriener A. Baumbach Sebastian Billaudelle O. Breitwieser ... Á. F. Kungl Walter Senn Johannes Schemmel K. Meier Mihai A. Petrovici 22 124 0 24 Dec 2019