Guillaume Bellec
6 papers · 2018–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (2) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
π
Conference Pioneer
Conferences
NIPS (5)
ICLR (1)
Top co-authors
Keywords
spiking neural network
(4)
recurrent network
(2)
gradient-based optimization
(1)
optimal transport
(1)
self-supervised learning
(1)
hebbian learning
(1)
neural activity
(1)
mean-field approximation
(1)
neuronal adaptation
(1)
spiking networks
(1)
probabilistic model
(1)
latent variable model
(1)
long short-term memory
(1)
recurrent neural network
(1)
differentiable simulation
(1)
backpropagation through time
(1)
deep representation
(1)
summary statistic
(1)
differentiable simulator
(1)
local plasticity rule
(1)
Papers
Trial matching: capturing variability with data-constrained spiking neural networks
NIPS 2023
Mesoscopic modeling of hidden spiking neurons
NIPS 2022
Fitting summary statistics of neural data with a differentiable spiking network simulator
NIPS 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
NIPS 2021
Long short-term memory and Learning-to-learn in networks of spiking neurons
NIPS 2018
Deep Rewiring: Training very sparse deep networks
ICLR 2018