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Diaconu, N., & Worrall, D. (2019). Learning to convolve: A generalized weight-tying approach. Proceedings of Machine Learning Research, 97, 1586-1595. http://proceedings.mlr.press/v97/diaconu19a.html -
Baan, J., Leible, J., Nikolaus, M., Rau, D., Ulmer, D., Baumgärtner, T., Hupkes, D., & Bruni, E. (2019). On the Realization of Compositionality in Neural Networks. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 127-137). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4814 -
Zambrano, D., Nusselder, R., Scholte, H. S., & Bohté, S. M. (2019). Sparse Computation in Adaptive Spiking Neural Networks. Frontiers in Neuroscience, 12, Article 987. https://doi.org/10.3389/fnins.2018.00987 -
Munshi, M. U., Martens, J., Berden, G., & Oomens, J. (2019). Gas-Phase Infrared Ion Spectroscopy Characterization of Cu(II/I)Cyclam and Cu(II/I)2,2′-Bipyridine Redox Pairs. The Journal of Physical Chemistry. A, 123(19), 4149-4157. https://doi.org/10.1021/acs.jpca.9b00793 -
Huang, Z., Tan, E., Lum, E., Sloot, P., Boehm, B. O., & Car, J. (2019). A Smartphone App to Improve Medication Adherence in Patients With Type 2 Diabetes in Asia: Feasibility Randomized Controlled Trial. JMIR mHealth and uHealth, 7(9), Article e14914. https://doi.org/10.2196/14914 -
Boulangier, J., Gobrecht, D., Decin, L., de Koter, A., & Yates, J. (2019). Developing a self-consistent AGB wind model: II. Non-classical, non-equilibrium polymer nucleation in a chemical mixture. Monthly Notices of the Royal Astronomical Society, 489(4), 4890-4911. https://doi.org/10.1093/mnras/stz2358 -
Schmidt, M., Huang, Y.-H., Texeira de Oliveira, E. F., Toplak, A., Wijma, H. J., Janssen, D. B., van Maarseveen, J. H., Craik, D. J., & Nuijens, T. (2019). Efficient Enzymatic Cyclization of Disulfide-Rich Peptides by Using Peptide Ligases. ChemBioChem, 20(12), 1524-1529. https://doi.org/10.1002/cbic.201900033 -
Bender, I. M. A., Kissling, W. D., Böhning-Gaese, K., Hensen, I., Kühn, I., Nowak, L., Töpfer, T., Wiegand, T., Dehling, D. M., & Schleuning, M. (2019). Projected impacts of climate change on functional diversity of frugivorous birds along a tropical elevational gradient. Scientific Reports, 9, Article 17708. https://doi.org/10.1038/s41598-019-53409-6 -
Lamb, G. P., Tanvir, N. R., Levan, A. J., de Ugarte Postigo, A., Kawaguchi, K., Corsi, A., Evans, P. A., Gompertz, B., Malesani, D. B., Page, K. L., Wiersema, K., Rosswog, S., Shibata, M., Tanaka, M., van der Horst, A. J., Cano, Z., Fynbo, J. P. U., Fruchter, A. S., Greiner, J., ... Xu, D. (2019). Short GRB 160821B: A Reverse Shock, a Refreshed Shock, and a Well-sampled Kilonova. Astrophysical Journal, 883(1), 48. https://doi.org/10.3847/1538-4357/ab38bb -
Massee, F., Huang, Y. K., Golden, M. S., & Aprili, M. (2019). Noisy defects in the high-Tc superconductor Bi2Sr2CaCu2O8+x. Nature Communications, 10, Article 544. https://doi.org/10.1038/s41467-019-08518-1
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