Vincent Dutordoir
12 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (28) π Interdisciplinary Bridge π Conference Polyglot (4)
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Academic Marathon
(7)
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Cross-Pollinator
(11)
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Century Club
(12)
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Keyword Collector
(50)
Conferences
ICML (5)
NIPS (5)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
gaussian process
(7)
variational inference
(5)
diffusion model
(3)
uncertainty quantification
(3)
sparse gaussian process
(2)
sparse approximation
(2)
deep gaussian process
(2)
gaussian processes
(2)
stochastic process
(1)
importance weighting
(1)
image reconstruction
(1)
posterior approximation
(1)
marginal likelihood
(1)
inter-domain gp
(1)
bayesian optimization
(1)
orthogonal decomposition
(1)
sequence prediction
(1)
thompson sampling
(1)
score matching
(1)
conditional generation
(1)
Papers
The GeometricKernels Package: Heat and MatΓ©rn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
NIPS 2024
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
ICML 2023
Geometric Neural Diffusion Processes
NIPS 2023
Neural Diffusion Processes
ICML 2023
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Scalable Thompson Sampling using Sparse Gaussian Process Models
NIPS 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
NIPS 2021
Sparse Gaussian Processes with Spherical Harmonic Features
ICML 2020
Bayesian Image Classification with Deep Convolutional Gaussian Processes
AISTATS 2020
Deep Gaussian Processes with Importance-Weighted Variational Inference
ICML 2019
Gaussian Process Conditional Density Estimation
NIPS 2018