Axel Laborieux

23 papers A* 4Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AllMem: A Memory-centric Recipe for Efficient Long-context Modeling.
CoRR
Ziming Wang, Xiang Wang, Kailong Peng, Lang Qin, Juan Gabriel Kostelec, Christos Sourmpis, Axel Laborieux, Qinghai Guo
2026 J jnl
When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models.
CoRR
Juan Gabriel Kostelec, Xiang Wang, Axel Laborieux, Christos Sourmpis, Qinghai Guo
2025 J jnl
Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures.
CoRR
Parsa Omidi, Xingshuai Huang, Axel Laborieux, Bahareh Nikpour, Tianyu Shi, Armaghan Eshaghi
2025 J jnl
Teaching signal synchronization in deep neural networks with prospective neurons.
CoRR
Nicolas Zucchet, Qianqian Feng, Axel Laborieux, Friedemann Zenke, Walter Senn, João Sacramento
2024 A* conf
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis.
ICLR
Axel Laborieux, Friedemann Zenke
2024 A* conf
Invited: Achieving PetaOps/W Edge-AI Processing.
DAC
Manil Dev Gomony, Bas Ahn, Rick Luiken, Yashvardhan Biyani, Anteneh Gebregiorgis, Axel Laborieux, Friedemann Zenke, Said Hamdioui, Henk Corporaal
2024 J jnl
Theories of synaptic memory consolidation and intelligent plasticity for continual learning.
CoRR
Friedemann Zenke, Axel Laborieux
2023 A* conf
Implicit variance regularization in non-contrastive SSL.
NeurIPS
Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
2023 J jnl
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis.
CoRR
Axel Laborieux, Friedemann Zenke
2022 A* conf
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations.
NeurIPS
Axel Laborieux, Friedemann Zenke
2022 J jnl
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations.
CoRR
Axel Laborieux, Friedemann Zenke
2022 J jnl
Predictor networks and stop-grads provide implicit variance regularization in BYOL/SimSiam.
CoRR
Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
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 — conf
CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks.
MWSCAS
Fadi Jebali, Atreya Majumdar, Axel Laborieux, Tifenn Hirtzlin, Elisa Vianello, Jean-Pierre Walder, Marc Bocquet, Damien Querlioz, Jean-Michel Portal
2021 J jnl
Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse.
IEEE Trans. Circuits Syst. I Regul. Pap.
Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
2021 J jnl
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks.
CoRR
Atreya Majumdar, Marc Bocquet, Tifenn Hirtzlin, Axel Laborieux, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
2021 J jnl
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.
CoRR
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz
2021 J jnl
Synaptic metaplasticity in binarized neural networks.
CoRR
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
2020 J jnl
Implementation of Ternary Weights with Resistive RAM Using a Single Sense Operation per Synapse.
CoRR
Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
2020 — conf
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse.
AICAS
Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Liza Herrera Diez, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
2020 J jnl
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse.
CoRR
Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Liza Herrera Diez, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
2020 J jnl
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.
CoRR
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz
2020 J jnl
Synaptic Metaplasticity in Binarized Neural Networks.
CoRR
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz