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Anthony Bourached
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Año
GAUCHE: a library for Gaussian processes in chemistry
RR Griffiths, L Klarner, H Moss, A Ravuri, S Truong, Y Du, S Stanton, ...
Advances in Neural Information Processing Systems 36, 2024
462024
Data-driven discovery of molecular photoswitches with multioutput Gaussian processes
RR Griffiths, JL Greenfield, AR Thawani, AR Jamasb, HB Moss, ...
Chemical Science 13 (45), 13541-13551, 2022
312022
The photoswitch dataset: A molecular machine learning benchmark for the advancement of synthetic chemistry
AR Thawani, RR Griffiths, A Jamasb, A Bourached, P Jones, ...
28*2020
Modeling the multiwavelength variability of Mrk 335 using Gaussian processes
RR Griffiths, J Jiang, DJK Buisson, D Wilkins, LC Gallo, A Ingram, ...
The Astrophysical Journal 914 (2), 144, 2021
232021
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars
A Bourached, G Cann, RR Griffiths, DG Stork
Electronic Imaging: Computer Vision and Image Analysis of Art 13 (14), pp 42 …, 2021
232021
Generative model‐enhanced human motion prediction
A Bourached, RR Griffiths, R Gray, A Jha, P Nachev
Applied AI Letters 3 (2), e63, 2022
222022
Computational identification of significant actors in paintings through symbols and attributes
DG Stork, A Bourached, GH Cann, RR Griffiths
Electronic Imaging: Computer Vision and Image Analysis of Art 33, pp 15-1 - 15-8, 2021
132021
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks
A Bourached, GH Cann, R Griffiths, DG Stork
Computer vision and analysis of art, DG Stork and K. Heumiller, eds., IS&T, 2021
9*2021
Raiders of the lost art
A Bourached, G Cann
arXiv preprint arXiv:1909.05677, 2019
82019
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks
G Kell, RR Griffiths, A Bourached, DG Stork
arXiv preprint arXiv:2203.07026, 2022
72022
GAUCHE: A Library for Gaussian Processes in Chemistry. 2022
RR Griffiths, L Klarner, HB Moss, A Ravuri, S Truong, B Rankovic, Y Du, ...
arXiv preprint arXiv:2212.04450, 0
5
Unsupervised videographic analysis of rodent behaviour
A Bourached, P Nachev
arXiv preprint arXiv:1910.11065, 2019
42019
Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity
A Bourached, AK Bonkhoff, MD Schirmer, RW Regenhardt, M Bretzner, ...
Brain Communications 6 (1), fcae007, 2024
32024
Recovering lost artworks by deep neural networks: Motivations, methodology, and proof-of-concept simulations
J Eriksson, GH Cann, A Bourached, DG Stork
Electronic Imaging 35, 1-7, 2023
32023
Scaling behaviors of deep learning and linear algorithms for the prediction of stroke severity
A Bourached, AK Bonkhoff, MD Schirmer, RW Regenhardt, M Bretzner, ...
medRxiv, 2022.12. 05.22283102, 2022
32022
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
A Bourached, R Gray, X Guan, RR Griffiths, A Jha, P Nachev
arXiv preprint arXiv:2111.12602, 2021
32021
GAUCHE: A library for Gaussian processes and Bayesian optimisation in chemistry
RR Griffiths, L Klarner, A Ravuri, S Truong, B Rankovic, Y Du, A Jamasb, ...
ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in …, 2022
22022
Yuanqi Du
RR Griffiths, L Klarner, H Moss, A Ravuri, ST Truong, B Rankovic
Arian Rokkum Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony …, 2022
22022
GAUCHE: A Library for Gaussian Processes in Chemistry, arXiv, 2023
RR Griffiths, L Klarner, HB Moss, A Ravuri, S Truong, S Stanton, G Tom, ...
arXiv preprint arXiv:2212.04450, 0
2
Style transfer for improved visualization of underdrawings and ghost paintings: An application to a work by Vincent van Gogh
A Bourached, GH Cann, RR Griffiths, J Eriksson, DG Stork
Electronic Imaging 35, 1-5, 2023
12023
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Artículos 1–20