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Results: 58,357
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Sikora, J., Rowe, J., Barat, S., Bean, J. L., Brady, M., Désert, J.-M., Feinstein, A. D., Gilbert, E. A., Henry, G., Kasper, D., Lizotte, D.-A., Matesic, M. R. B., Panwar, V., Seifahrt, A., Shivkumar, H., Stefánsson, G., & Stürmer, J. (2023). Updated Planetary Mass Constraints of the Young V1298 Tau System Using MAROON-X. Astrophysical Journal, 165(6), Article 250. https://doi.org/10.3847/1538-3881/acc865 -
Montargès, M., Cannon, E., de Koter, A., Khouri, T., Lagadec, E., Kervella, P., Decin, L., McDonald, I., Homan, W., Waters, L. B. F. M., Sahai, R., Gottlieb, C. A., Malfait, J., Maes, S., Pimpanuwat, B., Jeste, M., Danilovich, T., De Ceuster, F., Van de Sande, M., ... Zijlstra, A. (2023). The VLT/SPHERE view of the ATOMIUM cool evolved star sample I: Overview: Sample characterization through polarization analysis. Astrophysical Journal, 671, Article A96. https://doi.org/10.1051/0004-6361/202245398 -
Ruhe, D., Brandstetter, J., & Forré, P. (2023). Clifford Group Equivariant Neural Networks. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 62922-62990). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-2748 -
Wang, Q., Federici, M., & van Hoof, H. (2023). Bridge the Inference Gaps of Neural Processes via Expectation Maximization. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=A7v2DqLjZdq -
Turolla, R., Ng, C.-Y., Vink, J., & IXPE (2023). IXPE and XMM-Newton observations of the soft gamma repeater SGR 1806-20. Astrophysical Journal, 954(1), Article 88. https://doi.org/10.3847/1538-4357/aced05 -
Bakker, T., van Hoof, H., & Welling, M. (2023). Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes. In D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis, & F. Bonchi (Eds.), Machine Learning and Knowledge Discovery in Databases : Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023 : proceedings (Vol. I, pp. 3-19). (Lecture Notes in Computer Science; Vol. 14169), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.48550/arXiv.2309.05477, https://doi.org/10.1007/978-3-031-43412-9_1 -
Bobylev, E. O., Zeng, Y., Weijgertse, K., Koelman, E., Meijer, E. M., de Bruin, B., Kros, A., & Reek, J. N. H. (2023). The application of M12L24 nanocages as cell-specific siRNA delivery agents in vitro. Chem, 9(6), 1578-1593. https://doi.org/10.1016/j.chempr.2023.03.018 -
Clear, C. P., Uylings, P., Raassen, T., Nave, G., & Pickering, J. C. (2023). New Ritz wavelengths and transition probabilities for parity-forbidden, singly ionized nickel [Ni ii] lines of astrophysical interest. Monthly Notices of the Royal Astronomical Society, 519(3), 4040-4046. https://doi.org/10.1093/mnras/stac3739
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