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Lous, R. S., & Gerritsma, R. (2022). Ultracold ion-atom experiments: Cooling, chemistry, and quantum effects. Advances in Atomic, Molecular, and Optical Physics, 71, 65-133. https://doi.org/10.48550/arXiv.2206.14471, https://doi.org/10.1016/bs.aamop.2022.05.002 -
Barsotti, F., Koçer, R. G., & Santos, F. P. (2022). Can Algorithms be Explained Without Compromising Efficiency? The Benefits of Detection and Imitation in Strategic Classification: Extended abstract. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (Vol. 3, pp. 1536-1538). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3535850.3536026 -
Lerner, E., & Bouchbinder, E. (2022). Nonphononic spectrum of two-dimensional structural glasses. Journal of Chemical Physics, 157(16), Article 166101. https://doi.org/10.1063/5.0120115 -
Salehi, M., Mirzaei, H., Hendrycks, D., Li, Y., Rohban, M. H., & Sabokrou, M. (2022). A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Transactions on Machine Learning Research, 2022, Article 234. https://openreview.net/forum?id=aRtjVZvbpK -
Shen, Y., Xiao, J., & Pimentel, A. D. (2022). TCPS: A Task and Cache-aware Partitioned Scheduler for Hard Real-time Multi-core Systems. In T. Grosser, & K. Lee (Eds.), LCTES '22: proceedings of the 23rd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems : June 14, 2022, San Diego, CA, USA (pp. 37-49). Association for Computing Machinery. https://doi.org/10.1145/3519941.3535067 -
Blom, T., & Mooij, J. M. (2022). Robustness of model predictions under extension. Proceedings of Machine Learning Research, 180, 213-222. https://openreview.net/forum?id=BGGevIUicl9 -
Williams, A., Langridge, H., Straathof, A. L., Muhamadali, H., Hollywood, K. A., Goodacre, R., & de Vries, F. T. (2022). Root functional traits explain root exudation rate and composition across a range of grassland species. Journal of Ecology, 110(1), 21-33. https://doi.org/10.1111/1365-2745.13630 -
Liska, M. T. P., Chatterjee, K., Issa, D., Yoon, D., Kaaz, N., Tchekhovskoy, A., van Eijnatten, D., Musoke, G., Hesp, C., Rohoza, V., Markoff, S., Ingram, A., & van der Klis, M. (2022). H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing with 3D Adaptive Mesh Refinement and Local Adaptive Time Stepping. Astrophysical Journal, Supplement Series, 263(2), Article 26. https://doi.org/10.3847/1538-4365/ac9966
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