Convolutional generation of textured 3d meshes D Pavllo, G Spinks, T Hofmann, MF Moens, A Lucchi Advances in Neural Information Processing Systems 33, 870-882, 2020 | 66 | 2020 |
Discrete and continuous representations and processing in deep learning: Looking forward R Cartuyvels, G Spinks, MF Moens AI Open 2, 143-159, 2021 | 27 | 2021 |
Justifying diagnosis decisions by deep neural networks G Spinks, MF Moens Journal of biomedical informatics 96, 103248, 2019 | 16 | 2019 |
Autoregressive reasoning over chains of facts with transformers R Cartuyvels, G Spinks, MF Moens arXiv preprint arXiv:2012.11321, 2020 | 15 | 2020 |
Generating continuous representations of medical texts G Spinks, MF Moens arXiv preprint arXiv:1805.05691, 2018 | 12 | 2018 |
Evaluating textual representations through image generation G Spinks, MF Moens Proceedings of the 2018 EMNLP Workshop Blackbox NLP: Analyzing and …, 2018 | 8 | 2018 |
Generating Text from Images in a Smooth Representation Space. G Spinks, MF Moens CLEF (Working Notes), 2018 | 5 | 2018 |
Structured (De) composable representations trained with neural networks G Spinks, MF Moens Computers 9 (4), 79, 2020 | 2 | 2020 |
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 | | 2021 |
Deep Learning Methods for Multimodal Representation Learning G Spinks | | 2021 |
Learning Grammar in Confined Worlds G Spinks, R Cartuyvels, MF Moens Conversational Dialogue Systems for the Next Decade, 363-366, 2021 | | 2021 |
Distance-based Composable Representations with Neural Networks G Spinks, MF Moens | | |