Josselin Garnier
4 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(9)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(13)
Conferences
AISTATS (2)
ICML (1)
NIPS (1)
Top co-authors
Keywords
causal inference
(1)
bayesian inference
(1)
posterior sampling
(1)
gaussian process regression
(1)
inverse problem
(1)
score-based diffusion model
(1)
treatment effect estimation
(1)
graph regression
(1)
score-based diffusion
(1)
observational datum
(1)
graph kernel
(1)
heterogeneous treatment effect
(1)
conditional average treatment effect
(1)
sliced wasserstein
(1)
weisfeiler-lehman graph kernel
(1)
computational physics
(1)
positive definiteness
(1)
heterogeneous effect
(1)
multi-valued treatment
(1)
conditional denoising
(1)
Papers
Learning signals defined on graphs with optimal transport and Gaussian process regression
AISTATS 2025
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
AISTATS 2024
Conditional score-based diffusion models for Bayesian inference in infinite dimensions
NIPS 2023
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
ICML 2023