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 (AICAS, 2020)

Synaptic Metaplasticity in Binarized Neural Networks. - Axel Laborieux; Maxence Ernoult; Tifenn Hirtzlin; Damien Querlioz (CoRR, 2020)

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, 2020)

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 (MWSCAS, 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)

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)

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 (2021)

Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations. - Axel Laborieux; Friedemann Zenke (NeurIPS, 2022)

Predictor networks and stop-grads provide implicit variance regularization in BYOL/SimSiam. - Manu Srinath Halvagal; Axel Laborieux; Friedemann Zenke (CoRR, 2022)

Implicit variance regularization in non-contrastive SSL. - Manu Srinath Halvagal; Axel Laborieux; Friedemann Zenke (NeurIPS, 2023)

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 (DAC, 2024)

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis. - Axel Laborieux; Friedemann Zenke (ICLR, 2024)

Theories of synaptic memory consolidation and intelligent plasticity for continual learning. - Friedemann Zenke; Axel Laborieux (CoRR, 2024)

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, 2025)