Colombo, G. (2022). MorphOMICs, a tool for mapping microglial morphology, reveals brain region- and sex-dependent phenotypes. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12378 

Goudarzi, S., Sharif, M., &; Karimipour, F. (2022). A context-aware dimension reduction framework for trajectory and health signal analyses. Journal of Ambient Intelligence and Humanized Computing. Springer Nature.https://doi.org/10.1007/s12652-021-03569-z 

Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11388 

Gaertner, F., Reis-Rodrigues, P., de Vries, I., Hons, M., Aguilera, J., Riedl, M.,https://doi.org/10.1016/j.devcel.2021.11.024__Sixt, M. K. (2022). WASp triggers mechanosensitive actin patches to facilitate immune cell migration in dense tissues. Developmental Cell. Cell Pressf; Elsevier.https://doi.org/10.1016/j.devcel.2021.11.024 

Tasciyan, S. (2022). Role of microenvironment heterogeneity in cancer cell invasion. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12401 

Enshoji, M., Miyano, Y., Yoshida, N., Nagano, M., Watanabe, M., Kunihiro, M.,https://doi.org/10.1083/jcb.202112138__Toshima, J. (2022). Ep/Pan1p is a master regulator of the late stages of the endocytic pathway. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.202112138 

Belyaeva, V., Wachner, S., György, A., Emtenani, S., Gridchyn, I., Akhmanova, M.,https://doi.org/10.1371/journal.pbio.3001494__Siekhaus, D. E. (2022). Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.3001494 

Wachner, S. (2022). Transcriptional regulation by Dfos and BMP-signaling support tissue invasion of Drosophila immune cells. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11193 

Villa, C. E., Cheroni, C., Dotter, C., López-Tóbon, A., Oliveira, B., Sacco, R.,https://doi.org/10.1016/j.celrep.2022.110615__Novarino, G. (2022). CH haploinsufficiency links autism to transient alterations in excitatory and inhibitory trajectories. Cell Reports. Elsevier.https://doi.org/10.1016/j.celrep.2022.110615 

Dotter, C. (2022). Transcriptional consequences of mutations in genes associated with Autism Spectrum Disorder. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12094 

Elkrewi, M. N., Khauratovich, U., Toups, M. A., Bett, V. K., Mrnjavac, A., Macon, A.,https://doi.org/10.1093/genetics/iyac123__Vicoso, B. (2022). ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp. Genetics. Oxford University Press.https://doi.org/10.1093/genetics/iyac123 

Elkrewi, M. N. (2022). Data from Elkrewi, Khauratovich, Toups et al. 2022, “ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp.”https://doi.org/10.15479/AT:ISTA:11653__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:11653 

Shehu, Y., &; Iyiola, O. S. (2022). Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. Taylor &; Francis.https://doi.org/10.1080/00036811.2020.1736287 

Velicky, P., Miguel Villalba, E., Michalska, J. M., Wei, D., Lin, Z., Watson, J.,https://doi.org/10.1101/2022.03.16.484431__Danzl, J. G. (n.d.). Saturated reconstruction of living brain tissue. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2022.03.16.484431 

Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A.,https://doi.org/10.1101/2022.08.17.504272__Danzl, J. G. (n.d.). Uncovering brain tissue architecture across scales with super-resolution light microscopy. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2022.08.17.504272 

Karatzas, I., Maas, J., &; Schachermayer, W. (2021). Trajectorial dissipation and gradient flow for the relative entropy in Markov chains. Communications in Information and Systems. International Press.https://doi.org/10.4310/CIS.2021.v21.n4.a1 

Jecker, I. R., Mazzocchi, N., &; Wolf, P. (2021). Decomposing permutation automata. In 32nd International Conference on Concurrency Theory (Vol. 203). Paris, France: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2021.18 

Chatterjee, K., Henzinger, M. H., Kale, S. S., &; Svozil, A. (2021). Faster algorithms for bounded liveness in graphs and game graphs. In 48th International Colloquium on Automata, Languages, and Programming (Vol. 198). Glasgow, Scotland: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ICALP.2021.124 

Adams, H., Kourimska, H., Heiss, T., Percival, S., &; Ziegelmeier, L. (2021). How to tutorial-a-thon. Notices of the American Mathematical Society. American Mathematical Society.https://doi.org/10.1090/noti2349 

Harris, D. G., Iliopoulos, F., &; Kolmogorov, V. (2021). A new notion of commutativity for the algorithmic Lovász Local Lemma. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (Vol. 207). Virtual: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2021.31 

Guha, S., Jecker, I. R., Lehtinen, K., &; Zimmermann, M. (2021). A bit of nondeterminism makes pushdown automata expressive and succinct. In 46th International Symposium on Mathematical Foundations of Computer Science (Vol. 202). Tallinn, Estonia: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.MFCS.2021.53 

Nardin, M., Käfer, K., &; Csicsvari, J. L. (n.d.). The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2021.09.30.462269 

Palaia, I., Paraschiv, A., Debets, V., Storm, C., &; Sari, A. (2021). Durotaxis of passive nanoparticles on elastic membranes. ACS Nano. American Chemical Society.https://doi.org/10.1021/acsnano.1c02777  

Harker-Kirschneck, L., Hafner, A. E., Yao, T., Pulschen, A., Hurtig, F., Vanhille-Campos, C.,https://doi.org/10.1101/2021.03.23.436559__Sari, A. (n.d.). Physical mechanisms of ESCRT-III-driven cell division in archaea. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2021.03.23.436559 

Rauschendorfer, T., Gurri, S., Heggli, I., Maddaluno, L., Meyer, M., Inglés Prieto, Á.,https://doi.org/10.26508/lsa.202101100__Werner, S. (2021). Acute and chronic effects of a light-activated FGF receptor in keratinocytes in vitro and in mice. Life Science Alliance. Life Science Alliance.https://doi.org/10.26508/lsa.202101100 

Mühlböck, F., &; Tate, R. (2021). Transitioning from structural to nominal code with efficient gradual typing. Proceedings of the ACM on Programming Languages. Chicago, IL, United States: Association for Computing Machinery.https://doi.org/10.1145/3485504 

Degraen, D., Piovarci, M., Bickel, B., &; Kruger, A. (2021). Capturing tactile properties of real surfaces for haptic reproduction. In 34th Annual ACM Symposium (pp. 954–971). Virtual: Association for Computing Machinery.https://doi.org/10.1145/3472749.3474798 

Clozeau, N., &; Gloria, A. (n.d.). Quantitative nonlinear homogenization: control of oscillations. arXiv.

Hoefler, T., Alistarh, D.-A., Ben-Nun, T., Dryden, N., &; Peste, E.-A. (2021). Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. Journal of Machine Learning Research.

Alistarh, D.-A., Gelashvili, R., &; Rybicki, J. (2021). Brief announcement: Fast graphical population protocols. In 35th International Symposium on Distributed Computing (Vol. 209). Freiburg, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.DISC.2021.43 

Alistarh, D.-A., Gelashvili, R., &; Nadiradze, G. (2021). Lower bounds for shared-memory leader election under bounded write contention. In 35th International Symposium on Distributed Computing (Vol. 209). Freiburg, Germany: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.DISC.2021.4 

Chatterjee, B., Peri, S., &; Sa, M. (2021). Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. In 35th International Symposium on Distributed Computing (Vol. 209). Freiburg, Germany: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.DISC.2021.52 

Korhonen, J., Paz, A., Rybicki, J., Schmid, S., &; Suomela, J. (2021). Brief announcement: Sinkless orientation is hard also in the supported LOCAL model. In 35th International Symposium on Distributed Computing (Vol. 209). Freiburg, Germany: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.DISC.2021.58 

Zhang, Y., Li, L., &; Friml, J. (2021). Evaluation of gravitropism in non-seed plants. In E. B. Blancaflor (Ed.), Plant Gravitropism (Vol. 2368, pp. 43–51). Springer Nature.https://doi.org/10.1007/978-1-0716-1677-2_2 

Hörmayer, L., Friml, J., &; Glanc, M. (2021). Automated time-lapse imaging and manipulation of cell divisions in Arabidopsis roots by vertical-stage confocal microscopy. In Plant Cell Division (Vol. 2382, pp. 105–114). Humana Press.https://doi.org/10.1007/978-1-0716-1744-1_6 

Dubach, G. (2021). On eigenvector statistics in the spherical and truncated unitary ensembles. Electronic Journal of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/21-EJP686 

Paraschiv, A., Lagny, T. J., Campos, C. V., Coudrier, E., Bassereau, P., &; Sari, A. (2021). Influence of membrane-cortex linkers on the extrusion of membrane tubes. Biophysical Journal. Cell Press.https://doi.org/10.1016/j.bpj.2020.12.028 

Davis, L. K., Sari, A., Hoogenboom, B. W., &; Zilman, A. (2021). Physical modeling of multivalent interactions in the nuclear pore complex. Biophysical Journal. Elsevier.https://doi.org/10.1016/j.bpj.2021.01.039 

Zeng, L., Palaia, I., Sari, A., &; Su, X. (2021). PLC;31 promotes phase separation of T cell signaling components. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.202009154 

Vanhille-Campos, C., &; Sari, A. (2021). Modelling the dynamics of vesicle reshaping and scission under osmotic shocks. Soft Matter. Royal Society of Chemistry.https://doi.org/10.1039/d0sm02012e 

Ilharco, C., Shirazi, A., Gopalan, A., Nagrani, A., Bratanid, B., Bregler, C.,https://doi.org/10.18653/v1/2021.acl-tutorials.6__Imbrasaite, V. (2021). Recognizing multimodal entailment. In 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Tutorial Abstracts (pp. 29–30). Bangkok, Thailand: Association for Computational Linguistics.https://doi.org/10.18653/v1/2021.acl-tutorials.6 

Browning, T. D. (2021). Cubic Forms and the Circle Method (Vol. 343). Cham: Springer Nature.https://doi.org/10.1007/978-3-030-86872-7 

Bodova, K., Szep, E., &; Barton, N. H. (2021). Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1009661 

Kolmogorov, V., &; Pock, T. (2021). One-sided Frank-Wolfe algorithms for saddle problems. In 38th International Conference on Machine Learning. Virtual.

Nguyen, Q., Mondelli, M., &; Montufar, G. F. (2021). Tight bounds on the smallest eigenvalue of the neural tangent kernel for deep ReLU networks. In M. Meila &; T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.

Hashemi, S. A., Mondelli, M., Cioffi, J., &; Goldsmith, A. (2021). Successive syndrome-check decoding of polar codes. In Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers (Vol. 2021–October, pp. 943–947). Virtual, Pacific Grove, CA, United States: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/IEEECONF53345.2021.9723394 

Weighill, T., Yamauchi, T., &; Zava, N. (2021). Coarse infinite-dimensionality of hyperspaces of finite subsets. European Journal of Mathematics. Springer Nature.https://doi.org/10.1007/s40879-021-00515-3 

Chen, J. P., &; Sau, F. (2021). Higher-order hydrodynamics and equilibrium fluctuations of interacting particle systems. Markov Processes And Related Fields. Polymat Publishing.

Tschirhart, C. L., Serlin, M., Polshyn, H., Shragai, A., Xia, Z., Zhu, J.,https://doi.org/10.1126/science.abd3190__Young, A. F. (2021). Imaging orbital ferromagnetism in a moiré Chern insulator. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.abd3190 

Polshyn, H., Zhang, Y., Kumar, M. A., Soejima, T., Ledwith, P., Watanabe, K.,https://doi.org/10.1038/s41567-021-01418-6__Young, A. F. (2021). Topological charge density waves at half-integer filling of a moiré superlattice. Nature Physics. Springer Nature.https://doi.org/10.1038/s41567-021-01418-6 

Arrighi, E., Fernau, H., Hoffmann, S., Holzer, M., Jecker, I. R., De Oliveira Oliveira, M., &; Wolf, P. (2021). On the complexity of intersection non-emptiness for star-free language classes. In 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 213). Virtual: Schloss Dagstuhl - Leibniz Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.FSTTCS.2021.34 

Chatterjee, K., Ibsen-Jensen, R., &; Pavlogiannis, A. (2021). Quantitative verification on product graphs of small treewidth. In 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 213). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.FSTTCS.2021.42 

Nardin, M., Phillips, J. W., Podlaski, W. F., &; Keemink, S. W. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. Peer Community Journal. Centre Mersennef; Peer Community In.https://doi.org/10.24072/pcjournal.69 

Tschirhart, C., Serlin, M., Polshyn, H., Shragai, A. G., Xia, Z., Zhu, J.,  Young, A. (2021). Probing orbital Chern ferromagnet phase in twisted bilayer graphene. In APS March Meeting 2021 (Vol. 66). Virtual, United States: American Physical Society.

Naibert, T. R., Polshyn, H., Garrido-Menacho, R., Durkin, M., Wolin, B., Chua, V.,https://doi.org/10.1103/physrevb.103.224526__Budakian, R. (2021). Imaging and controlling vortex dynamics in mesoscopic superconductor-normal-metal-superconductor arrays. Physical Review B. American Physical Society.https://doi.org/10.1103/physrevb.103.224526 

Simbierowicz, S., Shi, C., Collodo, M., Kirste, M., Hassani, F., Fink, J. M.,  Lake, R. (2021). Qubit energy-relaxation statistics in the Bluefors quantum measurement system. Helsinki, Finland: Bluefors Oy.

Lake, R., Simbierowicz, S., Krantz, P., Hassani, F., &; Fink, J. M. (2021). The Bluefors dilution refrigerator as an integrated quantum measurement system. Helsinki, Finland: Bluefors Oy.

Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., &; Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.

Hasani, R., Lechner, M., Amini, A., Rus, D., &; Grosu, R. (2021). Liquid time-constant networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 7657–7666). Virtual: AAAI Press.

Babaiee, Z., Hasani, R., Lechner, M., Rus, D., &; Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.

Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., &; Rus, D. (2021). Causal navigation by continuous-time neural networks. In 35th Conference on Neural Information Processing Systems. Virtual.

Kragl, B., &; Qadeer, S. (2021). The Civl verifier. In P. Ruzica &; M. W. Whalen (Eds.), Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design (Vol. 2, pp. 143–152). Virtual: TU Wien Academic Press.https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23 

Polshyn, H., Zhu, J., Kumar, M., Zhang, Y., Yang, F., Tschirhart, C.,  Young, A. (2021). Orbital Chern insulator states in twisted monolayer-bilayer graphene and electrical switching of topological and magnetic order. In APS March Meeting 2021 (Vol. 66). Virtual: American Physical Society.

Avni, G., Jecker, I. R., &; Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976465.38 

Tomásek, P., Horák, K., Aradhye, A., Bosanský, B., &; Chatterjee, K. (2021). Solving partially observable stochastic shortest-path games. In 30th International Joint Conference on Artificial Intelligence (pp. 4182–4189). Virtual, Online: International Joint Conferences on Artificial Intelligence.https://doi.org/10.24963/ijcai.2021/575 

Fedorov, A., Koval, N., &; Alistarh, D.-A. (2021). A scalable concurrent algorithm for dynamic connectivity. In Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures (pp. 208–220). Virtual, Online: Association for Computing Machinery.https://doi.org/10.1145/3409964.3461810 

Lombardi, F., Pepic, S., Shriki, O., Tkadik, G., &; De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv.https://doi.org/10.48550/ARXIV.2108.06686 

Shadel, G. S., Adams, P. D., Berggren, W. T., Diedrich, J. K., Diffenderfer, K. E., Gage, F. H.,https://doi.org/10.1007/s11357-021-00426-x__Zambetti, S. (2021). The San Diego Nathan Shock Center: Tackling the heterogeneity of aging. GeroScience. Springer Nature.https://doi.org/10.1007/s11357-021-00426-x 

Krishna, S., Arrojo e Drigo, R., Capitanio, J. S., Ramachandra, R., Ellisman, M., &; Hetzer, M. (2021). Identification of long-lived proteins in the mitochondria reveals increased stability of the electron transport chain. Developmental Cell. Elsevier.https://doi.org/10.1016/j.devcel.2021.10.008 

Kungurtsev, V., Egan, M., Chatterjee, B., &; Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press.

Braun, L., &; Vogels, T. P. (2021). Online learning of neural computations from sparse temporal feedback. In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems (Vol. 20, pp. 16437–16450). Virtual, Online: Neural Information Processing Systems Foundation.

Alimisis, F., Davies, P., Vandereycken, B., &; Alistarh, D.-A. (2021). Distributed principal component analysis with limited communication. In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems (Vol. 4, pp. 2823–2834). Virtual, Online: Neural Information Processing Systems Foundation.

Frantar, E., Kurtic, E., &; Alistarh, D.-A. (2021). M-FAC: Efficient matrix-free approximations of second-order information. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 14873–14886). Virtual, Online: Curran Associates.

Alistarh, D.-A., &; Korhonen, J. (2021). Towards tight communication lower bounds for distributed optimisation. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 7254–7266). Virtual, Online: Curran Associates.

Schmidt, K. B., Kerutt, J., Wisotzki, L., Urrutia, T., Feltre, A., Maseda, M. V.,https://doi.org/10.1051/0004-6361/202140876__Schaye, J. (2021). Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at 1.5 &; z &; 6.4. Astronomy &; Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202140876 

Bacon, R., Mary, D., Garel, T., Blaizot, J., Maseda, M., Schaye, J.,https://doi.org/10.1051/0004-6361/202039887__Zoutendijk, S. L. (2021). The MUSE Extremely Deep Field: The cosmic web in emission at high redshift. Astronomy &; Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202039887 

Boogaard, L. A., Bouwens, R. J., Riechers, D., van der Werf, P., Bacon, R., Matthee, J. J.,https://doi.org/10.3847/1538-4357/ac01d7__Walter, F. (2021). Measuring the average molecular gas content of star-forming galaxies at z = 3–4. The Astrophysical Journal. IOP Publishing.https://doi.org/10.3847/1538-4357/ac01d7 

Matthee, J. J., Sobral, D., Hayes, M., Pezzulli, G., Gronke, M., Schaerer, D.,https://doi.org/10.1093/mnras/stab1304__Amorín, R. (2021). The X-SHOOTER Lyman ;1 survey at z = 2 (XLS-z2) I: What makes a galaxy a Lyman ;1 emitter? Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stab1304 

Gallego, S. G., Cantalupo, S., Sarpas, S., Duboeuf, B., Lilly, S., Pezzulli, G.,https://doi.org/10.1093/mnras/stab796__Mauerhofer, V. (2021). Constraining the cosmic UV background at z &; 3 with MUSE Lyman-;1 emission observations. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stab796 

Gronke, M., Ocvirk, P., Mason, C., Matthee, J. J., Bosman, S. E. I., Sorce, J. G.,https://doi.org/10.1093/mnras/stab2762__Yepes, G. (2021). Lyman-;1 transmission properties of the intergalactic medium in the CoDaII simulation. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stab2762 

Mackenzie, R., Pezzulli, G., Cantalupo, S., Marino, R. A., Lilly, S., Muzahid, S.,https://doi.org/10.1093/mnras/staa3277__Wisotzki, L. (2021). Revealing the impact of quasar luminosity on giant Ly;1 nebulae. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/staa3277 

Santos, S., Sobral, D., Butterworth, J., Paulino-Afonso, A., Ribeiro, B., da Cunha, E.,https://doi.org/10.1093/mnras/stab1218__Arrabal Haro, P. (2021). The evolution of the UV luminosity and stellar mass functions of Lyman-;1 emitters from z c 2 to z c 6. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stab1218 

Matthee, J. J. (2021). Differences in galaxy colours are not just about the mass. Nature Astronomy. Springer Nature.https://doi.org/10.1038/s41550-021-01415-y 

Audenaert, J., Kuszlewicz, J. S., Handberg, R., Tkachenko, A., Armstrong, D. J., Hon, M.,https://doi.org/10.3847/1538-3881/ac166a__Aerts, C. (2021). TESS Data for Asteroseismology (T’DA) stellar variability classification pipeline: Setup and application to the Keplerhttps://doi.org/10.3847/1538-3881/ac166a__data. The Astronomical Journal. IOP Publishing.https://doi.org/10.3847/1538-3881/ac166a 

Breton, S. N., Santos, A. R. G., Bugnet, L. A., Mathur, S., García, R. A., &; Pallé, P. L. (2021). ROOSTER: A machine-learning analysis tool for Kepler stellar rotation periods. Astronomy &; Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202039947 

Park, J., Prat, V., Mathis, S., &; Bugnet, L. A. (2021). Horizontal shear instabilities in rotating stellar radiation zones: II. Effects of the full Coriolis acceleration. Astronomy &; Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202038654 

Bugnet, L. A., Prat, V., Mathis, S., Astoul, A., Augustson, K., García, R. A.,https://doi.org/10.1051/0004-6361/202039159__Neiner, C. (2021). Magnetic signatures on mixed-mode frequencies: I. An axisymmetric fossil field inside the core of red giants. Astronomy &; Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202039159 

Mathis, S., Bugnet, L. A., Prat, V., Augustson, K., Mathur, S., &; Garcia, R. A. (2021). Probing the internal magnetism of stars using asymptotic magneto-asteroseismology. Astronomy &; Astrophysics. EDP Sciences.https://doi.org/10.1051/0004-6361/202039180 

Henzinger, M. H., Paz, A., &; Schmid, S. (2021). On the complexity of weight-dynamic network algorithms. In IFIP Networking Conference.https://doi.org/10.23919/ifipnetworking52078.2021.9472803__Espoo and Helsinki, Finland: Institute of Electrical and Electronics Engineers.https://doi.org/10.23919/ifipnetworking52078.2021.9472803 

Bernstein, A., Forster, S., &; Henzinger, M. H. (2021). A deamortization approach for dynamic spanner and dynamic maximal matching. ACM Transactions on Algorithms. Association for Computing Machinery.https://doi.org/10.1145/3469833 

Henzinger, M. H., &; Peng, P. (2021). Constant-time dynamic weight approximation for minimum spanning forest. Information and Computation. Elsevier.https://doi.org/10.1016/j.ic.2021.104805 

Henzinger, M. H., &; Wu, X. (2021). Upper and lower bounds for fully retroactive graph problems. In 17th International Symposium on Algorithms and Data Structures (Vol. 12808, pp. 471–484). Virtual: Springer Nature.https://doi.org/10.1007/978-3-030-83508-8_34 

Fichtenberger, H., Henzinger, M. H., &; Ost, W. (2021). Differentially private algorithms for graphs under continual observation. In 29th Annual European Symposium on Algorithms (Vol. 204). Lisbon, Portual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ESA.2021.42 

Henzinger, M. H., Krinninger, S., &; Nanongkai, D. (2021). A deterministic almost-tight distributed algorithm for approximating single-source shortest paths. SIAM Journal on Computing. Society for Industrial &; Applied Mathematics.https://doi.org/10.1137/16m1097808 

Bergamaschi, T., Henzinger, M. H., Gutenberg, M. P., Williams, V. V., &; Wein, N. (2021). New techniques and fine-grained hardness for dynamic near-additive spanners. In 32nd Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1836–1855). Alexandria, VA, United States: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976465.110 

Henzinger, M. H., Neumann, S., Räcke, H., &; Schmid, S. (2021). Tight bounds for online graph partitioning. In 32nd Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 2799–2818). Alexandria, VA, United States: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976465.166 

Bhattacharya, S., Henzinger, M. H., Nanongkai, D., &; Wu, X. (2021). Dynamic set cover: Improved amortized and worst-case update time. In 32nd Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 2537–2549). Alexandria, VA, United States: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976465.150 

Goranci, G., Henzinger, M. H., Leniowski, D., Schulz, C., &; Svozil, A. (2021). Fully dynamic k-center clustering in low dimensional metrics. In 2021 Proceedings of the Workshop on Algorithm Engineering and Experiments (pp. 143–153). Alexandria, VA, United States: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976472.11 

Schmermund, L., Reischauer, S., Bierbaumer, S., Winkler, C. K., DiazRodriguez, A., Edwards, L. J.,https://doi.org/10.1002/anie.202100164__Kroutil, W. (2021). Chromoselective photocatalysis enables stereocomplementary biocatalytic pathways. Angewandte Chemie International Edition. Wiley.https://doi.org/10.1002/anie.202100164 

Reischauer, S., &; Pieber, B. (2021). Recyclable, bifunctional metallaphotocatalysts for CS crosscoupling reactions. ChemPhotoChem. Wiley.https://doi.org/10.1002/cptc.202100062