Anthony Bourached

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 16

Top Topics

Generative Model

Top Venues

Computer Vision and Image Analysis of Art

Publications

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS (2023)
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang
GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR (2022)
Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. Computer Vision and Image Analysis of Art (2022)
Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. CoRR (2022)
Anthony Bourached, Robert Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR (2021)
David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths
Computational identification of significant actors in paintings through symbols and attributes. Computer Vision and Image Analysis of Art (2021)
Anthony Bourached, George Cann, Ryan-Rhys Griffiths, David G. Stork
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. CoRR (2021)
George H. Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. Computer Vision and Image Analysis of Art (2021)
George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. CoRR (2021)
Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths, David G. Stork
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. Computer Vision and Image Analysis of Art (2021)
David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths
Computational identification of significant actors in paintings through symbols and attributes. CoRR (2021)
Anthony Bourached, Ryan-Rhys Griffiths, Robert Gray, Ashwani Jha, Parashkev Nachev
Generative Model-Enhanced Human Motion Prediction. CoRR (2020)
Aditya R. Thawani, Ryan-Rhys Griffiths, Arian Jamasb, Anthony Bourached, Penelope Jones, William McCorkindale, Alexander A. Aldrick, Alpha A. Lee
The Photoswitch Dataset: A Molecular Machine Learning Benchmark for the Advancement of Synthetic Chemistry. CoRR (2020)
Anthony Bourached, Parashkev Nachev
Unsupervised Videographic Analysis of Rodent Behaviour. CoRR (2019)
Anthony Bourached, George Cann
Raiders of the Lost Art. CoRR (2019)
Anthony Bourached
Blocking Versus Non-Blocking Halo Exchange. CoRR (2017)