Friml, J., Gallei, M. C., Gelová, Z., Johnson, A. J., Mazur, E., Monzer, A.,https://doi.org/10.1038/s41586-022-05187-x__Rakusová, H. (2022). AB–TMK auxin perception for global phosphorylation and auxin canalization. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05187-x 

Gallei, M. C. (2022). Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11626 

Li, L., Gallei, M. C., &; Friml, J. (2022). Bending to auxin: Fast acid growth for tropisms. Trends in Plant Science. Cell Press.https://doi.org/10.1016/j.tplants.2021.11.006 

Sahtoe, D. D., Praetorius, F. M., Courbet, A., Hsia, Y., Wicky, B. I. M., Edman, N. I.,https://doi.org/10.1126/science.abj7662__Baker, D. (2022). Reconfigurable asymmetric protein assemblies through implicit negative design. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.abj7662 

Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., &; Fink, J. M. (2022). Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Zenodo.https://doi.org/10.5281/ZENODO.8408897 

Stöllner, A. (2022). Measuring airborne nanoplastics using aerosol physics. Nature Reviews Earth and Environment. Springer Nature.https://doi.org/10.1038/s43017-022-00302-y 

Hansen, A. H., Pauler, F., Riedl, M., Streicher, C., Heger, A.-M., Laukoter, S.,https://doi.org/10.1093/oons/kvac009__Hippenmeyer, S. (2022). Tissue-wide effects override cell-intrinsic gene function in radial neuron migration. Oxford Open Neuroscience. Oxford Academic.https://doi.org/10.1093/oons/kvac009 

Chatterjee, K., Goharshady, A. K., Meggendorfer, T., &; Zikelic, D. (2022). Sound and complete certificates for auantitative termination analysis of probabilistic programs. In Proceedings of the 34th International Conference on Computer Aided Verification (Vol. 13371, pp. 55–78). Haifa, Israel: Springer.https://doi.org/10.1007/978-3-031-13185-1_4 

Lechner, M., Zikelic, D., Chatterjee, K., &; Henzinger, T. A. (2022). Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v36i7.20695 

Zikelic, D., Lechner, M., Chatterjee, K., &; Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv.https://doi.org/10.48550/arXiv.2205.11991 

Phan, D. T., Senior, J. L., Ghazaryan, A., Hatefipour, M., Strickland, W. M., Shabani, J.,https://doi.org/10.1103/physrevlett.128.107701__Higginbotham, A. P. (2022). Detecting induced p±ip pairing at the Al-InAs interface with a quantum microwave circuit. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.128.107701 

Kumar, R., Reichelt, M., &; Bisht, N. C. (2022). An LC-MS/MS Assay for Enzymatic Characterization of Methylthioalkylmalate Synthase (MAMS) Involved in Glucosinolate Biosynthesis. In J. Jez (Ed.), Biochemical Pathways and Environmental Responses in Plants: Part A (Vol. 676, pp. 49–69). Elsevier.https://doi.org/10.1016/bs.mie.2022.07.019 

Sack, S., Medina Ramos, R. A., Michailidis, A., Kueng, R., &; Serbyn, M. (2022). Avoiding barren plateaus using classical shadows. PRX Quantum. American Physical Society.https://doi.org/10.1103/prxquantum.3.020365 

Amani, M. H., Bombari, S., Mondelli, M., Pukdee, R., &; Rini, S. (2022). Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. Mumbai, India: IEEE.https://doi.org/10.1109/ITW54588.2022.9965870 

Bombari, S., Amani, M. H., &; Mondelli, M. (2022). Memorization and optimization in deep neural networks with minimum over-parameterization. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 7628–7640). Curran Associates.

Stopp, J. A., &; Sixt, M. K. (2022). Plan your trip before you leave: The neutrophils’ search-and-run journey. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.202206127 

Qin, Y., Qin, B., Wang, D., Chang, C., &; Zhao, L.-D. (2022). Solid-state cooling: Thermoelectrics. Energy &; Environmental Science. Royal Society of Chemistry.https://doi.org/10.1039/d2ee02408j 

Zikelic, D., Lechner, M., Henzinger, T. A., &; Chatterjee, K. (n.d.). Learning control policies for stochastic systems with reach-avoid guarantees. arXiv.https://doi.org/10.48550/ARXIV.2210.05308 

Norelli, A., Fumero, M., Maiorca, V., Moschella, L., Rodolà, E., &; Locatello, F. (n.d.). ASIF: Coupled data turns unimodal models to multimodal without training. arXiv.https://doi.org/10.48550/arXiv.2210.01738 

Radler, P. (2022). In vitro reconstitution of Escherichia coli divisome activation. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:10934