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 

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 

Radler, P., Baranova, N. S., Dos Santos Caldas, P. R., Sommer, C. M., Lopez Pelegrin, M. D., Michalik, D., &; Loose, M. (2022). In vitro reconstitution of Escherichia coli divisome activation. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-022-30301-y 

Schulz, R., Korkut, M., Venturino, A., Colombo, G., &; Siegert, S. (2022). Chimeric GPCRs mimic distinct signaling pathways and modulate microglia responses. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-022-32390-1 

Schulz, R. (2022). Source Data (Chimeric GPCRs mimic distinct signaling pathways and modulate microglia responses). Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:11542 

Valentini, M., Borovkov, M., Prada, E., Martí-Sánchez, S., Botifoll, M., Hofmann, A. C.,https://doi.org/10.1038/s41586-022-05382-w__Katsaros, G. (2022). Majorana-like Coulomb spectroscopy in the absence of zero-bias peaks. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05382-w 

Valentini, M., San-Jose, P., Arbiol, J., Marti-Sanchez, S., &; Botifoll, M. (2022). Data for “Majorana-like Coulomb spectroscopy in the absence of zero bias peaks.”https://doi.org/10.15479/AT:ISTA:12102__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12102 

Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &; Barton, N. H. (2022). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Genetics. Oxford University Press.https://doi.org/10.1093/genetics/iyac083 

Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &; Barton, N. H. (2022). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11321 

Akopyan, A., &; Karasev, R. (2022). When different norms lead to same billiard trajectories? European Journal of Mathematics. Springer Nature.https://doi.org/10.1007/s40879-020-00405-0 

Sperl, G. (2022). Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12103 

Rzadkowski, W. (2022). Analytic and machine learning approaches to composite quantum impurities. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10759 

Ingole, K. D., Nagarajan, N., Uhse, S., Giannini, C., &; Djamei, A. (2022). Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. Frontiers Media.https://doi.org/10.3389/ffunb.2022.1029114 

Feliciangeli, D., Rademacher, S. A. E., &; Seiringer, R. (2022). The effective mass problem for the Landau-Pekar equations. Journal of Physics A: Mathematical and Theoretical. IOP Publishing.https://doi.org/10.1088/1751-8121/ac3947 

Podlaski, W. F., Agnes, E. J., &; Vogels, T. P. (2022). High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2020.01.08.898528