Vincent Dutordoir

According to our database1, Vincent Dutordoir authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs.
CoRR, 2024

DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform.
CoRR, 2024

2023
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design.
CoRR, 2023

Geometric Neural Diffusion Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes.
Proceedings of the International Conference on Machine Learning, 2023

Memory-Based Meta-Learning on Non-Stationary Distributions.
Proceedings of the International Conference on Machine Learning, 2023

Neural Diffusion Processes.
Proceedings of the International Conference on Machine Learning, 2023

2021
GPflux: A Library for Deep Gaussian Processes.
CoRR, 2021

Scalable Thompson Sampling using Sparse Gaussian Process Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Neural Networks as Point Estimates for Deep Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Hierarchical Gaussian Process Models for Improved Metamodeling.
ACM Trans. Model. Comput. Simul., 2020

A Tutorial on Sparse Gaussian Processes and Variational Inference.
CoRR, 2020

A Framework for Interdomain and Multioutput Gaussian Processes.
CoRR, 2020

Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Sparse Gaussian Processes with Spherical Harmonic Features.
Proceedings of the 37th International Conference on Machine Learning, 2020

Bayesian Image Classification with Deep Convolutional Gaussian Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Translation Insensitivity for Deep Convolutional Gaussian Processes.
CoRR, 2019

Deep Gaussian Processes with Importance-Weighted Variational Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Gaussian Process Conditional Density Estimation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces.
Proceedings of the 2017 Winter Simulation Conference, 2017


  Loading...