Anthony Bourached

According to our database, Anthony Bourached authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GAUCHE: A Library for Gaussian Processes in Chemistry.

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

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

2022

GAUCHE: A Library for Gaussian Processes in Chemistry.

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang

CoRR, 2022

Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks.

Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork

Proceedings of the Computer Vision and Image Analysis of Art 2022, 2022

2021

Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion.

Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev

CoRR, 2021

Computational identification of significant actors in paintings through symbols and attributes.

David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths

Proceedings of the Computer Vision and Image Analysis of Art 2021, 2021

Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks.

George H. Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork

Proceedings of the Computer Vision and Image Analysis of Art 2021, 2021

Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars.

Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths, David G. Stork

Proceedings of the Computer Vision and Image Analysis of Art 2021, 2021

2020

Generative Model-Enhanced Human Motion Prediction.

Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev

CoRR, 2020

2019

Unsupervised Videographic Analysis of Rodent Behaviour.

Anthony Bourached, Parashkev Nachev

CoRR, 2019

Raiders of the Lost Art.

Anthony Bourached, George Cann

CoRR, 2019

2017

Blocking Versus Non-Blocking Halo Exchange.

Anthony Bourached

CoRR, 2017