Publications

Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs
Bryan Eikema, Germán Kruszewski, Hady Elsahar, Marc Dymetman in arXiv, 2021

Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation
Bryan Eikema and Wilker Aziz in arXiv, 2021

Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation
Bryan Eikema and Wilker Aziz in Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020 Best Paper Award

Auto-Encoding Variational Neural Machine Translation
Bryan Eikema and Wilker Aziz in Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP), 2019

Master's Thesis: Auto-Encoding Variational Neural Machine Translation
Bryan Eikema in UvA Scripties Online, 2018