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Zimmermann, H., Lindsten, F., van de Meent, J.-W., & Naesseth, C. A. (2023). A Variational Perspective on Generative Flow Networks. Transactions on Machine Learning Research, 2023, Article 612. https://openreview.net/forum?id=AZ4GobeSLq -
van der Neut, N. (2023). De invloed van de verbintenisrechtelijke opzegregels op de overeenkomst van opdracht. Tijdschrift voor Ontslagrecht, 2023(3), 65-76. https://doi.org/10.5553/TvO/254253152023007003002 -
Gabel, A., Klein, V., Valperga, R., Lamb, J. S. W., Webster, K., Quax, R., & Gavves, E. (2023). Learning Lie Group Symmetry Transformations with Neural Networks. Proceedings of Machine Learning Research, 221, 50-59. https://proceedings.mlr.press/v221/gabel23a.html -
van der Heijde, C., van der Heijden, B., & Looise, J. K. (2023). Het meten en bevorderen van competentie-gebaseerde employability en loopbaansucces in organisaties, met speciale aandacht voor loopbaan-en levensfasen. Gedrag en Organisatie, 36(2), 159-197. https://doi.org/10.5117/GO2023.2.003.HEIJ -
Bhati, A. P., Hoti, A., Potterton, A., Bieniek, M. K., & Coveney, P. V. (2023). Long Time Scale Ensemble Methods in Molecular Dynamics: Ligand-Protein Interactions and Allostery in SARS-CoV-2 Targets. Journal of Chemical Theory and Computation, 19(11), 3359-3378. https://doi.org/10.1021/ACS.JCTC.3C00020 -
Giulianelli, M., Wallbridge, S., & Fernández, R. (2023). Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives. In H. Bouamar, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 5633-5653). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.343 -
Juncker, H. G., van den Akker, C. H. P., Meerdink, P. L., Korosi, A., Vaz, F. M., van Goudoever, J. B., & van Keulen, B. J. (2023). The influence of a maternal vegan diet on carnitine and vitamin B2 concentrations in human milk. Frontiers in Nutrition, 10, Article 1107768. https://doi.org/10.3389/fnut.2023.1107768 -
Mong, Y.-L., Ackley, K., Killestein, T. L., Galloway, D. K., Vassallo, C., Dyer, M., Cutter, R., Brown, M. J. I., Lyman, J., Ulaczyk, K., Steeghs, D., Dhillon, V., O'Brien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R., Nuttall, L., Pallé, E., ... Wiersema, K. (2023). Self-supervised clustering on image-subtracted data with deep-embedded self-organizing map. Monthly Notices of the Royal Astronomical Society, 518(1), 752-762. https://doi.org/10.1093/mnras/stac3103 -
Schulz, C., Kortmann, S., Piller, F. T., & Pollok, P. (2023). Growing with smart products: Why customization capabilities matter for manufacturing firms. Journal of Product Innovation Management, 40(6), 794-816. https://doi.org/10.1111/jpim.12680 -
van der Wal, J. M., van Borkulo, C. D., Haslbeck, J. M. B., Slofstra, C., Klein, N. S., Blanken, T. F., Deserno, M. K., Lok, A., Nauta, M. H., & Bockting, C. L. (2023). Differential impact of preventive cognitive therapy while tapering antidepressants versus maintenance antidepressant treatment on affect fluctuations and individual affect networks and impact on relapse: a secondary analysis of a randomised controlled trial. EClinicalMedicine, 66, Article 102329. https://doi.org/10.1016/j.eclinm.2023.102329
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