Axel Laborieux

According to our database, Axel Laborieux authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models.

Juan Gabriel Kostelec, Xiang Wang, Axel Laborieux, Christos Sourmpis, Qinghai Guo

CoRR, March, 2026

AllMem: A Memory-centric Recipe for Efficient Long-context Modeling.

Ziming Wang, Xiang Wang, Kailong Peng, Lang Qin, Juan Gabriel Kostelec, Christos Sourmpis, Axel Laborieux, Qinghai Guo

CoRR, February, 2026

2025

Teaching signal synchronization in deep neural networks with prospective neurons.

Nicolas Zucchet, Qianqian Feng, Axel Laborieux, Friedemann Zenke, Walter Senn, João Sacramento

CoRR, November, 2025

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures.

Parsa Omidi, Xingshuai Huang, Axel Laborieux, Bahareh Nikpour, Tianyu Shi, Armaghan Eshaghi

CoRR, August, 2025

2024

Theories of synaptic memory consolidation and intelligent plasticity for continual learning.

Friedemann Zenke, Axel Laborieux

CoRR, 2024

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis.

Axel Laborieux, Friedemann Zenke

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Invited: Achieving PetaOps/W Edge-AI Processing.

Manil Dev Gomony, Bas Ahn, Rick Luiken, Yashvardhan Biyani, Anteneh Gebregiorgis, Axel Laborieux, Friedemann Zenke, Said Hamdioui, Henk Corporaal

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Implicit variance regularization in non-contrastive SSL.

Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke

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.

Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke

CoRR, 2022

Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations.

Axel Laborieux, Friedemann Zenke

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).

Axel Laborieux

PhD thesis, 2021

Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse.

Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks.

Atreya Majumdar, Marc Bocquet, Tifenn Hirtzlin, Axel Laborieux, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz

CoRR, 2021

Synaptic metaplasticity in binarized neural networks.

Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz

CoRR, 2021

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.

Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz

CoRR, 2021

CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks.

Fadi Jebali, Atreya Majumdar, Axel Laborieux, Tifenn Hirtzlin, Elisa Vianello, Jean-Pierre Walder, Marc Bocquet, Damien Querlioz, Jean-Michel Portal

Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

2020

Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse.

Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Liza Herrera Diez, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020