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Valentin Liévin
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Biva: A very deep hierarchy of latent variables for generative modeling
L Maaløe, M Fraccaro, V Liévin, O Winther
Advances in neural information processing systems 32, 2019
2102019
Can large language models reason about medical questions?
V Liévin, CE Hother, AG Motzfeldt, O Winther
arXiv preprint arXiv:2207.08143, 2022
1462022
ThoughtSource: A central hub for large language model reasoning data
S Ott, K Hebenstreit, V Liévin, CE Hother, M Moradi, M Mayrhauser, ...
Scientific Data 10 (1), 528, 2023
212023
Image super-resolution with deep variational autoencoders
D Chira, I Haralampiev, O Winther, A Dittadi, V Liévin
European Conference on Computer Vision, 395-411, 2022
142022
Towards hierarchical discrete variational autoencoders
VVDJ Lievin, A Dittadi, L Maaløe, O Winther
2nd Symposium on Advances in Approximate Bayesian Inference, 2020
92020
Optimal variance control of the Score-Function gradient estimator for Importance-Weighted bounds
V Liévin, A Dittadi, A Christensen, O Winther
Advances in Neural Information Processing Systems 33, 16591-16602, 2020
72020
Variational open-domain question answering
V Liévin, AG Motzfeldt, IR Jensen, O Winther
International Conference on Machine Learning, 20950-20977, 2023
42023
FindZebra online search delving into rare disease case reports using natural language processing
V Liévin, JM Hansen, A Lund, D Elstein, ME Matthiesen, K Elomaa, ...
PLOS digital health 2 (6), e0000269, 2023
22023
Deep Latent Variable Models for Natural Language Processing
V Lievin
Technical University of Denmark, 2022
22022
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