Vincent Dutordoir

1. A Tutorial on Sparse Gaussian Processes and Variational Inference
   2020/12/27 by Felix Leibfried, Vincent Dutordoir, Leibfried, Felix +5 · 6 citations
   Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Control Systems and Identification
2. Scalable Thompson Sampling using Sparse Gaussian Process Models
   2020/06/09 by Sattar Vakili, Vakili, Sattar, Henry B. Moss +7 · 5 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
   2025/06/27 by Žiga Avsec, Natasha S. Latysheva, Jun Cheng +24 · 3 voices · 8 citations
   Biochemistry, Genetics and Molecular Biology · #Genomics and Chromatin Dynamics #Genomics and Phylogenetic Studies #RNA and protein synthesis mechanisms
4. A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
   2023/12/14 by Kieran Didi, Didi, Kieran, Francisco Vargas +11 · 3 citations
   Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #Genomics and Chromatin Dynamics #RNA Research and Splicing
5. Bayesian Image Classification with Deep Convolutional Gaussian Processes
   2019/02/15 by Vincent Dutordoir, Dutordoir, Vincent, Mark van der Wilk +5 · 1 citation
   Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Fault Detection and Control Systems
6. A Framework for Interdomain and Multioutput Gaussian Processes
   2020/03/02 by Mark van der Wilk, van der Wilk, Mark, Vincent Dutordoir +9 · 2 citations
   Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. GPflux: A Library for Deep Gaussian Processes
   2021/04/12 by Vincent Dutordoir, Dutordoir, Vincent, Hugh Salimbeni +17 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Geometric Neural Diffusion Processes
   2023/07/11 by Emile Mathieu, Vincent Dutordoir, Mathieu, Emile +9 · 1 voice · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML