Axel Laborieux
Orcid: 0000-0003-3630-2863
According to our database1,
Axel Laborieux
authored at least 11 papers
between 2020 and 2023.
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Bibliography
2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Predictor networks and stop-grads provide implicit variance regularization in BYOL/SimSiam.
CoRR, 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Bio-inspired continual learning and credit assignment for neuromorphic computing. (Apprentissage continu et estimation du gradient inspirés de la biologie pour le calcul neuromorphique).
PhD thesis, 2021
Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks.
CoRR, 2021
CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021
2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.
CoRR, 2020
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020