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Suter, J. L., Vassaux, M., & Coveney, P. V. (2023). Large-scale molecular dynamics elucidates the mechanics of reinforcement in graphene-based composites. Advanced materials, 35(35), Article e2302237. https://doi.org/10.1002/ADMA.202302237 -
de Heer Kloots, M. H. P., Schoustra, S. K., Dijksman, J. A., & Smulders, M. M. J. (2023). Phase separation in supramolecular and covalent adaptable networks. Soft Matter, 19(16), 2857-2877. https://doi.org/10.1039/d3sm00047h -
Romijnders, R., Asano, Y. M., Louizos, C., & Welling, M. (2023). No time to waste: practical statistical contact tracing with few low-bit messages. Proceedings of Machine Learning Research, 206, 7943-7960. https://proceedings.mlr.press/v206/romijnders23a.html -
Liu, H., Chen, P., Ouyang, X., Gao, H., Yan, B., Grosso, P., & Zhao, Z. (2023). Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. Future Generation Computer Systems, 146, 18-33. https://doi.org/10.1016/j.future.2023.03.029 -
Hollain, N., Larson, M., & Roelofsen, F. (2023). Distractor-Based Evaluation of Sign Spotting. In IEEE ICASSPW 2023 Workshop Proceedings (ICASSP 2023): 4-10 June, Rhodes Island, Greece IEEE. https://doi.org/10.1109/ICASSPW59220.2023.10193484
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