Graham Spinks
Tytuł
Cytowane przez
Cytowane przez
Rok
Generating continuous representations of medical texts
G Spinks, MF Moens
arXiv preprint arXiv:1805.05691, 2018
92018
Convolutional generation of textured 3d meshes
D Pavllo, G Spinks, T Hofmann, MF Moens, A Lucchi
arXiv preprint arXiv:2006.07660, 2020
82020
Autoregressive reasoning over chains of facts with transformers
R Cartuyvels, G Spinks, MF Moens
arXiv preprint arXiv:2012.11321, 2020
62020
Justifying diagnosis decisions by deep neural networks
G Spinks, MF Moens
Journal of biomedical informatics 96, 103248, 2019
62019
Evaluating textual representations through image generation
G Spinks, MF Moens
Proceedings of the 2018 EMNLP Workshop Blackbox NLP: Analyzing and …, 2018
52018
Generating text from images in a smooth representation space
G Spinks, MF Moens
CEUR Workshop Proceedings 2125, 2018
42018
Structured (De) composable Representations Trained with Neural Networks
G Spinks, MF Moens
Computers 9 (4), 79, 2020
12020
Justifying diagnosis decisions by deep neural networks (vol 96, 103248, 2019)
G Spinks, MF Moens
JOURNAL OF BIOMEDICAL INFORMATICS 119, 2021
2021
Corrigendum to" Justifying diagnosis decisions by deep neural networks"[J. Biomed. Inf. 96 (2019) 103248].
G Spinks, MF Moens
Journal of Biomedical Informatics, 103835-103835, 2021
2021
Discrete and continuous representations and processing in deep learning: Looking forward
R Cartuyvels, G Spinks, MF Moens
AI Open 2, 143-159, 2021
2021
Learning Grammar in Confined Worlds
G Spinks, R Cartuyvels, MF Moens
Conversational Dialogue Systems for the Next Decade, 363-366, 2021
2021
Structured (De) composable Representations Trained with Neural Networks
F Schilling, T Stadelmann, G Spinks, M Moens
Artificial Neural Networks in Pattern Recognition9th IAPR TC3 Workshop …, 2020
2020
Deep Learning methods for multimodal representation learning
G Spinks
2020
Distance-based Composable Representations with Neural Networks
G Spinks, MF Moens
2019
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