Guillaume Hennequin

According to our database1, Guillaume Hennequin authored at least 16 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Fisher-Legendre (FishLeg) optimization of deep neural networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Natural continual learning: success is a journey, not (just) a destination.
CoRR, 2021

Natural continual learning: success is a journey, not (just) a destination.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scalable Bayesian GPFA with automatic relevance determination and discrete noise models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations.
CoRR, 2020

Non-reversible Gaussian processes for identifying latent dynamical structure in neural data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Efficient Communication over Complex Dynamical Networks.
CoRR, 2019

2018
Exact natural gradient in deep linear networks and its application to the nonlinear case.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Information Transmission in Dynamical Networks: The Normal Network Case.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2014
Fast Sampling-Based Inference in Balanced Neuronal Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analog Memories in a Balanced Rate-Based Network of E-I Neurons.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector.
PLoS Comput. Biol., 2013

2010
STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.
Frontiers Comput. Neurosci., 2010

2009
Code-specific policy gradient rules for spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009


  Loading...