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Eikema, B., Aziz, W. (2019) Auto-Encoding Variational Neural Machine Translation.In Augenstein, I. Gella, S. Ruder, S. Kann, K. Welbl, J. Conneau, A. Ren, X. Rei, M. (Eds.), The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019): ACL 2019 : proceedings of the workshop : August 2, 2019, Florence, Italy (pp 124–141). The Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/W19-4315 | UvA-DAREEikema, B., Aziz, W. (2020) Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation.In Scott, D. Bel, N. Zong, C. (Eds.), The 28th International Conference on Computational Linguistics: COLING 2020 : Proceedings of the Conference : December 8-13, 2020, Barcelona, Spain (Online) (pp 4506–4520). International Committee on Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/2020.coling-main.398 | UvA-DAREEikema, B., Aziz, W. (2022) Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation.In Goldberg, Y. Kozareva, Z. Zhang, Y. (Eds.), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: December 7-11, 2022, Abu Dhabi, United Arab Emirates (pp 10978-10993). Association for Computational Linguistics.Conference contribution | https://doi.org/10.48550/arXiv.2108.04718 | UvA-DAREEikema, B., Kruszewski, G., Dance, C., Elsahar, H., Dymetman, M. (2022) An Approximate Sampler for Energy-based Models with Divergence Diagnostics.Transactions on Machine Learning ResearchArticle | https://doi.org/10.48550/arXiv.2112.05702 | UvA-DAREel Haji, A., Munneke, G.-J., van der Molen, M. (2015) Explaining the Moral Dissociation between Theft and Piracy.Paper | UvA-DAREEldar, L., Ozols, M., Thompson, K. 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