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Anthony Bourached
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2020 – today
- 2023
- [c5]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 - 2022
- [c4]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: 1-14 - [i10]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 abs/2203.07026 (2022) - [i9]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:
GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR abs/2212.04450 (2022) - 2021
- [c3]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: 1-10 - [c2]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: 1-8 - [c1]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: 1-8 - [i8]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 abs/2101.10807 (2021) - [i7]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 abs/2102.00209 (2021) - [i6]David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. CoRR abs/2102.02732 (2021) - [i5]Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev:
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR abs/2111.12602 (2021) - 2020
- [i4]Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev:
Generative Model-Enhanced Human Motion Prediction. CoRR abs/2010.11699 (2020)
2010 – 2019
- 2019
- [i3]Anthony Bourached, George Cann:
Raiders of the Lost Art. CoRR abs/1909.05677 (2019) - [i2]Anthony Bourached, Parashkev Nachev:
Unsupervised Videographic Analysis of Rodent Behaviour. CoRR abs/1910.11065 (2019) - 2017
- [i1]Anthony Bourached:
Blocking Versus Non-Blocking Halo Exchange. CoRR abs/1709.06175 (2017)
Coauthor Index
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last updated on 2024-07-20 20:32 CEST by the dblp team
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