Gilles Louppe
16 papers · 2013–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (3) π Cross-Pollinator (7)
π
Academic Marathon
(11)
πΊοΈ
Taxonomy Completionist
(32)
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
(2)
π±
Topic Pioneer
π₯
Unstoppable
(8)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(74)
π
Century Club
(16)
π
Trend Setter
Conferences
NIPS (11)
AISTATS (4)
ICML (1)
Top co-authors
Keywords
simulation-based inference
(5)
likelihood-free inference
(4)
bayesian inference
(3)
feature selection
(3)
tree-based method
(2)
markov chain monte carlo
(2)
mean decrease impurity
(2)
normalizing flow
(2)
feature relevance
(2)
uncertainty quantification
(2)
variable importance
(2)
random forest
(2)
empirical baye
(2)
bayesian inverse problem
(2)
variational inference
(2)
posterior inference
(2)
density estimation
(2)
posterior sampling
(1)
expectation maximization
(1)
ensemble learning
(1)
Papers
Learning Diffusion Priors from Observations by Expectation Maximization
NIPS 2024
Score-based Data Assimilation
NIPS 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
NIPS 2023
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
NIPS 2022
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
AISTATS 2021
Truncated Marginal Neural Ratio Estimation
NIPS 2021
From global to local MDI variable importances for random forests and when they are Shapley values
NIPS 2021
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
NIPS 2021
Graphical Normalizing Flows
AISTATS 2021
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
ICML 2020
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
NIPS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators
AISTATS 2019
Unconstrained Monotonic Neural Networks
NIPS 2019
Random Subspace with Trees for Feature Selection Under Memory Constraints
AISTATS 2018
Learning to Pivot with Adversarial Networks
NIPS 2017
Understanding variable importances in forests of randomized trees
NIPS 2013