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Swatman, S. N., Varbanescu, A.-L., Pimentel, A., Salzburger, A., & Krasznahorkay, A. (2023). Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition. In ICPE '23: proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering : April 15-19, 2023, Coimbra, Portugal (pp. 55-66). The Association for Computing Machinery. https://doi.org/10.1145/3578244.3583723 -
Rehó, B., Fadel, L., Brazda, P., Benziane, A., Hegedüs, É., Sen, P., Gadella, T. W. J., Tóth, K., Nagy, L., & Vámosi, G. (2023). Agonist-controlled competition of RAR and VDR nuclear receptors for heterodimerization with RXR is manifested in their DNA binding. The Journal of Biological Chemistry, 299(2), Article 102896. https://doi.org/10.1016/j.jbc.2023.102896 -
Eberhardt, L., & Mizera, S. (2023). Evaluating one-loop string amplitudes. SciPost Physics, 15(3), Article 119. https://doi.org/10.21468/scipostphys.15.3.119 -
Xin, R., Liu, H., Chen, P., & Zhao, Z. (2023). Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework. Journal of Cloud Computing, 12, Article 7. https://doi.org/10.1186/s13677-022-00383-6 -
Guha, S., Khan, F. A., Stoyanovich, J., & Schelter, S. (2023). Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making. In 2023 IEEE 39th International Conference on Data Engineering: ICDE 2023 : proceedings : 3-7 April 2023, Anaheim, California (pp. 3747-3754). IEEE Computer Society. https://doi.org/10.1109/ICDE55515.2023.00303 -
The ATLAS collaboration (2023). Search for dark matter produced in association with a Higgs boson decaying to tau leptons at √s = 13 TeV with the ATLAS detector. Journal of High Energy Physics, 2023(9), Article 189. https://doi.org/10.1007/JHEP09(2023)189 -
Blom, T., & Mooij, J. M. (2023). Causality and independence in perfectly adapted dynamical systems. Journal of Causal Inference, 11(1), Article 20210005. https://doi.org/10.1515/jci-2021-0005 -
Fragkos, P., Dalla Longa, F., Zisarou, E., van der Zwaan, B., Giannousakis, A., & Fattahi, A. (2023). Exploring Model-Based Decarbonization and Energy Efficiency Scenarios with PROMETHEUS and TIAM-ECN. Energies, 16(18), Article 6421. https://doi.org/10.3390/en16186421 -
Zhang, Y., Zhang, D. W., Lacoste-Julien, S., Burghouts, G. J., & Snoek, C. G. M. (2023). Unlocking Slot Attention by Changing Optimal Transport Costs. Proceedings of Machine Learning Research, 202, 41931-41951. https://proceedings.mlr.press/v202/zhang23ba.html
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