Vincent Dutordoir
12 papers · 2018–2025 · 4 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
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
🗃️
Keyword Collector
(50)
Venues
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Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Deep Learning
(7)
Bayesian & Probabilistic · Artificial Intelligence
(7)
Optimization & Theory
(7)
Models
(6)
Bayesian & Probabilistic · Machine Learning
(3)
Core Methods
(3)
Computer Vision
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
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 Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform
NeurIPS 2024
Geometric Neural Diffusion Processes
NeurIPS 2023
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Neural Diffusion Processes
ICML 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
ICML 2023
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
NeurIPS 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models
NeurIPS 2021
Bayesian Image Classification with Deep Convolutional Gaussian Processes
AISTATS 2020
Sparse Gaussian Processes with Spherical Harmonic Features
ICML 2020
Deep Gaussian Processes with Importance-Weighted Variational Inference
ICML 2019
Gaussian Process Conditional Density Estimation
NeurIPS 2018