Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Bourached, Anthony"'
Autor:
Griffiths, Ryan-Rhys, Klarner, Leo, Moss, Henry B., Ravuri, Aditya, Truong, Sang, Stanton, Samuel, Tom, Gary, Rankovic, Bojana, Du, Yuanqi, Jamasb, Arian, Deshwal, Aryan, Schwartz, Julius, Tripp, Austin, Kell, Gregory, Frieder, Simon, Bourached, Anthony, Chan, Alex, Moss, Jacob, Guo, Chengzhi, Durholt, Johannes, Chaurasia, Saudamini, Strieth-Kalthoff, Felix, Lee, Alpha A., Cheng, Bingqing, Aspuru-Guzik, Alán, Schwaller, Philippe, Tang, Jian
We introduce GAUCHE, a library for GAUssian processes in CHEmistry. Gaussian processes have long been a cornerstone of probabilistic machine learning, affording particular advantages for uncertainty quantification and Bayesian optimisation. Extending
Externí odkaz:
http://arxiv.org/abs/2212.04450
We present a novel bi-modal system based on deep networks to address the problem of learning associations and simple meanings of objects depicted in "authored" images, such as fine art paintings and drawings. Our overall system processes both the ima
Externí odkaz:
http://arxiv.org/abs/2203.07026
Autor:
Bourached, Anthony, Gray, Robert, Guan, Xiaodong, Griffiths, Ryan-Rhys, Jha, Ashwani, Nachev, Parashkev
Models of human motion commonly focus either on trajectory prediction or action classification but rarely both. The marked heterogeneity and intricate compositionality of human motion render each task vulnerable to the data degradation and distributi
Externí odkaz:
http://arxiv.org/abs/2111.12602
Autor:
Griffiths, Ryan-Rhys, Jiang, Jiachen, Buisson, Douglas J. K., Wilkins, Dan R., Gallo, Luigi C., Ingram, Adam, Lee, Alpha A., Grupe, Dirk, Kara, Erin, Parker, Michael L., Alston, William, Bourached, Anthony, Cann, George, Young, Andrew, Komossa, S.
The optical and UV variability of the majority of AGN may be related to the reprocessing of rapidly-changing X-ray emission from a more compact region near the central black hole. Such a reprocessing model would be characterised by lags between X-ray
Externí odkaz:
http://arxiv.org/abs/2103.06838
The automatic analysis of fine art paintings presents a number of novel technical challenges to artificial intelligence, computer vision, machine learning, and knowledge representation quite distinct from those arising in the analysis of traditional
Externí odkaz:
http://arxiv.org/abs/2102.02732
We apply generative adversarial convolutional neural networks to the problem of style transfer to underdrawings and ghost-images in x-rays of fine art paintings with a special focus on enhancing their spatial resolution. We build upon a neural archit
Externí odkaz:
http://arxiv.org/abs/2102.00209
We describe the application of convolutional neural network style transfer to the problem of improved visualization of underdrawings and ghost-paintings in fine art oil paintings. Such underdrawings and hidden paintings are typically revealed by x-ra
Externí odkaz:
http://arxiv.org/abs/2101.10807
The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-distribution (OoD). Here we formulate a new OoD benchmark based on the
Externí odkaz:
http://arxiv.org/abs/2010.11699
Autor:
Griffiths, Ryan-Rhys, Greenfield, Jake L., Thawani, Aditya R., Jamasb, Arian R., Moss, Henry B., Bourached, Anthony, Jones, Penelope, McCorkindale, William, Aldrick, Alexander A., Lee, Matthew J. Fuchter Alpha A.
Photoswitchable molecules display two or more isomeric forms that may be accessed using light. Separating the electronic absorption bands of these isomers is key to selectively addressing a specific isomer and achieving high photostationary states wh
Externí odkaz:
http://arxiv.org/abs/2008.03226
Autor:
Bourached, Anthony, Nachev, Parashkev
Animal behaviour is complex and the amount of data in the form of video, if extracted, is copious. Manual analysis of behaviour is massively limited by two insurmountable obstacles, the complexity of the behavioural patterns and human bias. Automated
Externí odkaz:
http://arxiv.org/abs/1910.11065