Arnaud Guillin
3 papers · 2023–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Deep Learning
(3)
Artificial Intelligence
(2)
Machine Learning
(2)
Architectures
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
law of large number
(2)
variational inference
(1)
bayesian inference
(1)
kullback-leibler divergence
(1)
monte carlo sampling
(1)
generative model
(1)
bayesian neural network
(1)
evidence lower bound
(1)
normalising flow
(1)
neural hamiltonian flow
(1)
volume-preserving mapping
(1)
physics-inspired model
(1)
central limit theorem
(1)
weight dynamics
(1)
kernel methods
(1)
neural network
(1)
stochastic gradient descent
(1)
reparametrization trick
(1)
Papers
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
AISTATS 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case
JMLR 2024
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
COLT 2023