Guillaume Hennequin

22 papers A* 10Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Efficient Model Compression Techniques with FishLeg.
CoRR
Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge, Jools Clarke, Jezabel Garcia, Rui Xia, Yilei Liang, Guillaume Hennequin, Alberto Bernacchia
2024 A* conf
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization.
NeurIPS
Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-Shan Shiu, Guillaume Hennequin, Alberto Bernacchia
2024 J jnl
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization.
CoRR
Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-Shan Shiu, Guillaume Hennequin, Alberto Bernacchia
2024 A* conf
Learning interpretable control inputs and dynamics underlying animal locomotion.
ICLR
Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin, Christian K. Machens, Michael B. Orger, Adrien Jouary
2024 A* conf
Second-order forward-mode optimization of recurrent neural networks for neuroscience.
NeurIPS
Youjing Yu, Rui Xia, Qingxi Ma, Máté Lengyel, Guillaume Hennequin
2023 A* conf
Fisher-Legendre (FishLeg) optimization of deep neural networks.
ICLR
Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin
2022 A* conf
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data.
ICLR
Marine Schimel, Ta-Chu Kao, Kristopher T. Jensen, Guillaume Hennequin
2021 A* conf
Natural continual learning: success is a journey, not (just) a destination.
NeurIPS
Ta-Chu Kao, Kristopher T. Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin
2021 J jnl
Natural continual learning: success is a journey, not (just) a destination.
CoRR
Ta-Chu Kao, Kristopher T. Jensen, Alberto Bernacchia, Guillaume Hennequin
2021 A* conf
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models.
NeurIPS
Kristopher T. Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin
2020 J jnl
Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations.
CoRR
Ta-Chu Kao, Guillaume Hennequin
2020 A* conf
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.
NeurIPS
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin
2020 J jnl
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.
CoRR
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin
2020 A* conf
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data.
NeurIPS
Virginia Rutten, Alberto Bernacchia, Maneesh Sahani, Guillaume Hennequin
2019 J jnl
Efficient Communication over Complex Dynamical Networks.
CoRR
Giacomo Baggio, Virginia Rutten, Guillaume Hennequin, Sandro Zampieri
2018 A* conf
Exact natural gradient in deep linear networks and its application to the nonlinear case.
NeurIPS
Alberto Bernacchia, Máté Lengyel, Guillaume Hennequin
2018 — conf
Information Transmission in Dynamical Networks: The Normal Network Case.
CDC
Giacomo Baggio, Virginia Rutten, Guillaume Hennequin, Sandro Zampieri
2014 — conf
Analog Memories in a Balanced Rate-Based Network of E-I Neurons.
NIPS
Dylan Festa, Guillaume Hennequin, Máté Lengyel
2014 — conf
Fast Sampling-Based Inference in Balanced Neuronal Networks.
NIPS
Guillaume Hennequin, Laurence Aitchison, Máté Lengyel
2013 J jnl
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector.
PLoS Comput. Biol.
Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
2010 J jnl
STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.
Frontiers Comput. Neurosci.
Guillaume Hennequin, Wulfram Gerstner, Jean-Pascal Pfister
2009 — conf
Code-specific policy gradient rules for spiking neurons.
NIPS
Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner