Laurence Perreault-Levasseur
4 papers · 2023–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Mathematics & Optimization
(2)
Models
(2)
Artificial Intelligence
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
generative model
(2)
markov chain monte carlo
(1)
posterior inference
(1)
parameter inference
(1)
model comparison
(1)
physics-informed neural network
(1)
partial differential equation
(1)
inductive bia
(1)
simulation-based inference
(1)
neural solver
(1)
generative flow network
(1)
probability mass
(1)
coverage testing
(1)
chi-squared test
(1)
lie point symmetry
(1)
nested sampling
(1)
likelihood-free evaluation
(1)
dynamic nested sampling
(1)
gradient-guided
(1)
hamiltonian slice sampling
(1)
Papers
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
ICLR 2025
Improving Gradient-Guided Nested Sampling for Posterior Inference
ICML 2024
Lie Point Symmetry and Physics-Informed Networks
NeurIPS 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
ICML 2023