Research output per year
Research output per year
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Dive into the research topics where Valentin Victor David Julien Lievin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 3 Article in proceedings
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Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
Liévin, V., Dittadi, A., Christensen, A. & Winther, O., 2020, Proceedings of 34th Conference on Neural Information Processing Systems. p. 1-12Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile9 Downloads (Pure) -
Towards Hierarchical Discrete Variational Autoencoders
Victor David Julien Lievin, V., Dittadi, A., Maaløe, L. & Winther, O., 2020, Proceedings of 2nd Symposium on Advances in Approximate Bayesian Inference, 20. International Machine Learning Society (IMLS), 16 p. (Proceedings of Machine Learning Research, Vol. 118).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile9 Downloads (Pure) -
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Maaløe, L., Fraccaro, M., Lievin, V. & Winther, O., 2019, Advances in Neural Information Processing Systems 32 . Neural Information Processing Systems Foundation, 12 p. 8882. (Advances in Neural Information Processing Systems, Vol. 32).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile126 Downloads (Pure)
Projects
- 1 Active
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Deep Generative Modelling for Natural Language
Victor David Julien Lievin, V., Winther, O. & Sønderby, C. K.
01/10/2018 → 18/06/2022
Project: PhD