Searchable List of Research Output

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  • Vitányi, P.M.B. (2016) Registers.
    In Kao, M.-Y. (Eds.), Encyclopedia of Algorithms (pp 1808-1812). Springer Reference.
    Entry for encyclopedia/dictionary | https://doi.org/10.1007/978-1-4939-2864-4_338 | UvA-DARE
  • Vitányi, P.M.B. (2017) Exact Expression for Information Distance.
    IEEE Transactions on Information Theory, Vol. 63 (pp 4725-4728)
  • Vitányi, P.M.B. (2018) On the average-case complexity of Shellsort.
    Random Structures and Algorithms, Vol. 52 (pp 354-363)
  • Voerman, G., Voorburg, R., Huurdeman, H. (2012) Webarchivering: een pleidooi voor een archiverend netwerk van organisaties.
    Archievenblad, Vol. 116 (pp 30-33)
    Article | UvA-DARE
  • Voita, E., Sennrich, R., Titov, I. (2019) When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion.
    In Korhonen, A. Traum, D. Màrquez, L. (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp 1198-1212). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/P19-1116 | UvA-DARE
  • Voita, E., Sennrich, R., Titov, I. (2019) The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives.
    In Inui, K. Jiang, J. Ng, V. Wan, X. (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp 4396-4406). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/D19-1448 | UvA-DARE
  • Voita, E., Sennrich, R., Titov, I. (2019) Context-Aware Monolingual Repair for Neural Machine Translation.
    In Inui, K. Jiang, J. Ng, V. Wan, X. (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp 877-886). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/D19-1081 | UvA-DARE
  • Voita, E., Sennrich, R., Titov, I. (2021) Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT.
    In Moens, M.-C. Huang, X. Specia, L. Yih, S.W. (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp 8478-8491). The Association for Computational Linguistics.
  • Voita, E., Sennrich, R., Titov, I. (2021) Analyzing the source and target contributions to predictions in neural machine translation.
    In Zong, C. Xia, F. Li, W. Navigli, R. (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (pp 1126-1140). The Association for Computational Linguistics.
  • Voita, E., Serdyukov, P., Sennrich, R., Titov, I. (2018) Context-aware neural machine translation learns anaphora resolution.
    In Gurevych, I. Miyao, Y. (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (pp 1264-1274). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/p18-1117 | UvA-DARE
  • Voita, E., Talbot, D., Moiseev, F., Sennrich, R., Titov, I. (2019) Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.
    In Korhonen, A. Traum, D. Màrquez, L. (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp 5797–5808). The Association for Computational Linguistics.
    Conference contribution | https://doi.org/10.18653/v1/P19-1580 | UvA-DARE
  • Voita, E., Titov, I. (2020) Information-theoretic probing with minimum description length.
    In Webber, B. Cohn, T. He, Y. Liu, Y. (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp 183-196). The Association for Computational Linguistics.
  • Volk, A., Honingh, A. (2012) Mathematical and computational approaches to music: challenges in an interdisciplinary enterprise.
    Journal of Mathematics and Music, Vol. 6 (pp 73-81)
  • von Engelhardt, J., Janssen, T.M.V., Scha, R.J.H. (1996) The Visual grammar of Information Graphics.
    In Proceedings Workshop on Visual Representation, Reasoning and Interaction in Design (pp 1-11). AID'96.
    Chapter | UvA-DARE
  • von Engelhardt, J. (2002) The language of graphics.
    Thesis, fully internal | UvA-DARE
  • von Kügelgen, J., Mohamed, A., Beckers, S. (2023) Backtracking Counterfactuals.
    Proceedings of Machine Learning Research, Vol. 213 (pp 177-196)
  • Voorbaak, F., Massios, N.A. (1998) Decision-Theoretic planning for autonomous robotic surveillance.
    In Proc. ECAI'98 Workshop Decision theory meets artificial intelligence, qualitative and quantitative approaches (pp 23-32) (-). Univ. of Brighton.
    Chapter | UvA-DARE
  • Voorbraak, F.P.J.M., Massios, N.A. (2001) Decision-theoretic planning for autonomous robotic surveillance.
    Applied Intelligence, Vol. 14 (pp 253-262)
  • Voorbraak, F.P.J.M. (1994) Bookreview of Default Reasoning: Causal and Conditional Theories.
    AI Communications, Vol. 7 (pp 66-67)
    Article | UvA-DARE
  • Voorbraak, F.P.J.M. (1995) Reasoning with Uncertainty in AI.
    In van Lambalgen, Michiel Dorst, Leo Voorbraak, Frans (Eds.), Reasoning with Uncertainty in Robotics (pp 43-91). University of Amsterdam.
    Chapter | UvA-DARE

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