Marylou Gabrie
8 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🔥
Unstoppable · Bronze
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Deep Learning
(4)
Models
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Probability
(2)
Architectures
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
markov chain monte carlo
(5)
normalizing flow
(3)
metropolis-hastings sampler
(2)
generative model
(2)
energy-based model
(2)
multimodal distribution
(2)
sampling method
(2)
statistical physics
(2)
mean field
(1)
mean-field approximation
(1)
contrastive divergence
(1)
free energy
(1)
logistic loss
(1)
restricted boltzmann machine
(1)
target distribution
(1)
generative adversarial network
(1)
score-based diffusion
(1)
adaptive mcmc
(1)
transport map
(1)
persistent contrastive divergence
(1)
Papers
Learned Reference-based Diffusion Sampler for multi-modal distributions
ICLR 2025
Stochastic Localization via Iterative Posterior Sampling
ICML 2024
On Sampling with Approximate Transport Maps
ICML 2023
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
AISTATS 2022
Local-Global MCMC kernels: the best of both worlds
NeurIPS 2022
On the interplay between data structure and loss function in classification problems
NeurIPS 2021
Entropy and mutual information in models of deep neural networks
NeurIPS 2018
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
NeurIPS 2015