Dutordoir, Vincent

13 publications

NeurIPS 2024 DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-Transform Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

NeurIPSW 2023 A Framework for Conditional Diffusion Modelling with Applications in Motif Scaffolding for Protein Design Kieran Didi, Francisco Vargas, Simon Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio

NeurIPS 2023 Geometric Neural Diffusion Processes Emile Mathieu, Vincent Dutordoir, Michael Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard Turner

ICML 2023 Memory-Based Meta-Learning on Non-Stationary Distributions Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness

ICML 2023 Neural Diffusion Processes Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson

ICML 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes Louis C. Tiao, Vincent Dutordoir, Victor Picheny

NeurIPS 2021 Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande

NeurIPS 2021 Scalable Thompson Sampling Using Sparse Gaussian Process Models Sattar Vakili, Henry Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny

ECML-PKDD 2020 Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande

AISTATS 2020 Bayesian Image Classification with Deep Convolutional Gaussian Processes Vincent Dutordoir, Mark Wilk, Artem Artemev, James Hensman

ICML 2020 Sparse Gaussian Processes with Spherical Harmonic Features Vincent Dutordoir, Nicolas Durrande, James Hensman

ICML 2019 Deep Gaussian Processes with Importance-Weighted Variational Inference Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Deisenroth

NeurIPS 2018 Gaussian Process Conditional Density Estimation Vincent Dutordoir, Hugh Salimbeni, James Hensman, Marc Deisenroth