Marylou Gabrie
8 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (10) 🗺️ Taxonomy Completionist (15)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🏆
Keyword Champion
(2)
🔥
Unstoppable
(5)
Conferences
NIPS (4)
ICML (2)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
markov chain monte carlo
(3)
normalizing flow
(3)
metropolis-hastings sampler
(2)
statistical physics
(2)
mutual information
(1)
mean field
(1)
contrastive divergence
(1)
logistic loss
(1)
generative model
(1)
restricted boltzmann machine
(1)
energy-based model
(1)
generative adversarial network
(1)
sampling method
(1)
adaptive mcmc
(1)
transport map
(1)
persistent contrastive divergence
(1)
classification problem
(1)
data structure
(1)
mixing rate
(1)
multimodal target
(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
NIPS 2022
On the interplay between data structure and loss function in classification problems
NIPS 2021
Entropy and mutual information in models of deep neural networks
NIPS 2018
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
NIPS 2015