Hennequin, Guillaume

14 publications

NeurIPSW 2024 Efficient Model Compression Techniques with FishLeg Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge, Jools Clarke, Jezabel R Garcia, Rui Xia, Yilei Liang, Guillaume Hennequin, Alberto Bernacchia

NeurIPS 2024 Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia

ICLR 2024 Learning Interpretable Control Inputs and Dynamics Underlying Animal Locomotion Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin, Christian K. Machens, Michael Orger, Adrien Jouary

NeurIPS 2024 Second-Order Forward-Mode Optimization of Recurrent Neural Networks for Neuroscience Youjing Yu, Rui Xia, Qingxi Ma, Máté Lengyel, Guillaume Hennequin

ICLR 2023 Fisher-Legendre (FishLeg) Optimization of Deep Neural Networks Jezabel R Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin

ICLR 2022 iLQR-VAE : Control-Based Learning of Input-Driven Dynamics with Applications to Neural Data Marine Schimel, Ta-Chu Kao, Kristopher T Jensen, Guillaume Hennequin

NeurIPS 2021 Natural Continual Learning: Success Is a Journey, Not (just) a Destination Ta-Chu Kao, Kristopher Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin

NeurIPS 2021 Scalable Bayesian GPFA with Automatic Relevance Determination and Discrete Noise Models Kristopher Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin

NeurIPS 2020 Manifold GPLVMs for Discovering Non-Euclidean Latent Structure in Neural Data Kristopher Jensen, Ta-Chu Kao, Marco Tripodi, Guillaume Hennequin

NeurIPS 2020 Non-Reversible Gaussian Processes for Identifying Latent Dynamical Structure in Neural Data Virginia Rutten, Alberto Bernacchia, Maneesh Sahani, Guillaume Hennequin

NeurIPS 2018 Exact Natural Gradient in Deep Linear Networks and Its Application to the Nonlinear Case Alberto Bernacchia, Mate Lengyel, Guillaume Hennequin

NeurIPS 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons Dylan Festa, Guillaume Hennequin, Mate Lengyel

NeurIPS 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks Guillaume Hennequin, Laurence Aitchison, Mate Lengyel

NeurIPS 2009 Code-Specific Policy Gradient Rules for Spiking Neurons Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner