Guillaume Bellec
6 papers · 2018–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(3)
Architectures
(3)
Interdisciplinary
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory
(2)
Science
(2)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
spiking neural network
(4)
recurrent network
(2)
probabilistic modeling
(1)
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)
sparse network
(1)
deep representation
(1)
summary statistic
(1)
Papers
Trial matching: capturing variability with data-constrained spiking neural networks
NeurIPS 2023
Mesoscopic modeling of hidden spiking neurons
NeurIPS 2022
Fitting summary statistics of neural data with a differentiable spiking network simulator
NeurIPS 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
NeurIPS 2021
Deep Rewiring: Training very sparse deep networks
ICLR 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons
NeurIPS 2018