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Results: 217,888
Number of items: 217,888
  • Open Access
    Lindemann, M., Koller, A., & Titov, I. (2023). Compositional Generalization without Trees using Multiset Tagging and Latent Permutations. In A. Rogers, J. Boyd-Graper, & N. Okazaki (Eds.), The 61st Conference of the Association for Computational Linguistics: ACL 2023 : Proceedings of the Conference : July 9-14, 2023 (Vol. 1, pp. 14488-14506). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.810
  • Open Access
    Seipp, T. J. (2023). Media Concentration Law: Gaps and Promises in the Digital Age. Media and Communication, 11(2), 392-405. https://doi.org/10.17645/mac.v11i2.6393
  • Open Access
    Bamba, A., Sano, H., Yamazaki, R., & Vink, J. (2023). On the influence of shock-cloud interactions on the nonthermal X-ray emission from the supernova remnant RCW 86. Publications of the Astronomical Society of Japan, 75(6), 1344-1352. https://doi.org/10.1093/pasj/psad075
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. ArXiv. https://doi.org/10.48550/arXiv.2310.07348
  • Open Access
    Sbardolini, G. (2023). Homogeneity and the illocutionary force of rejection. Proceedings from Semantics and Linguistic Theory, 33, 399-420. https://doi.org/10.3765/m9525j50
  • Open Access
    Müller-Eberstein, M., van der Goot, R., Plank, B., & Titov, I. (2023). Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 13190-13208). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.879
  • Open Access
    Groenendijk, R. W. (2023). Going into depth: Learning morphological aspects in data modalities using neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Laenen, E., Marinissen, C., & Vonk, M. (2023). Resurgence analysis of the Adler function at O (1/ N2f). Journal of High Energy Physics, 2023(9), Article 103. https://doi.org/10.1007/JHEP09(2023)103
  • Open Access
    Feng, F., Huang, B., Magliacane, S., & Zhang, K. (2023). Factored Adaptation for Non-Stationary Reinforcement Learning. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 41, pp. 31957-31971). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2203.16582
  • Open Access
    H.E.S.S. Collaboration, Berge, D., Prokhorov, D. A., & Vink, J. (2023). HESS J1809−193: A halo of escaped electrons around a pulsar wind nebula? Astronomy & Astrophysics, 672, Article A103. https://doi.org/10.1051/0004-6361/202245459
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