Koehl, P., Akopyan, A., &; Edelsbrunner, H. (2023). Computing the volume, surface area, mean, and Gaussian curvatures of molecules and their derivatives. Journal of Chemical Information and Modeling. American Chemical Society.https://doi.org/10.1021/acs.jcim.2c01346 

Stock, M., Milutinovic, B., Hönigsberger, M., Grasse, A. V., Wiesenhofer, F., Kampleitner, N.,https://doi.org/10.1038/s41559-023-01981-6__Cremer, S. (2023). Pathogen evasion of social immunity. Nature Ecology and Evolution. Springer Nature.https://doi.org/10.1038/s41559-023-01981-6 

Mrnjavac, A., Khudiakova, K., Barton, N. H., &; Vicoso, B. (2023). Slower-X: Reduced efficiency of selection in the early stages of X chromosome evolution. Evolution Letters. Oxford University Press.https://doi.org/10.1093/evlett/qrac004 

Hippenmeyer, S. (2023). Principles of neural stem cell lineage progression: Insights from developing cerebral cortex. Current Opinion in Neurobiology. Elsevier.https://doi.org/10.1016/j.conb.2023.102695 

Agresti, A., Lindemulder, N., &; Veraar, M. (2023). On the trace embedding and its applications to evolution equations. Mathematische Nachrichten. Wiley.https://doi.org/10.1002/mana.202100192 

Falconi, M., Leopold, N. K., Mitrouskas, D. J., &; Petrat, S. P. (2023). Bogoliubov dynamics and higher-order corrections for the regularized Nelson model. Reviews in Mathematical Physics. World Scientific Publishing.https://doi.org/10.1142/S0129055X2350006X 

Lombardi, F., Pepic, S., Shriki, O., Tkadik, G., &; De Martino, D. (2023). Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. Springer Nature.https://doi.org/10.1038/s43588-023-00410-9 

Goranci, G., &; Henzinger, M. H. (2023). Efficient data structures for incremental exact and approximate maximum flow. In 50th International Colloquium on Automata, Languages, and Programming (Vol. 261). Paderborn, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ICALP.2023.69 

Harris, D. G., &; Kolmogorov, V. (2023). Parameter estimation for Gibbs distributions. In 50th International Colloquium on Automata, Languages, and Programming (Vol. 261). Paderborn, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ICALP.2023.72 

Henzinger, M. H., Liu, P., Vondrák, J., &; Zheng, D. W. (2023). Faster submodular maximization for several classes of matroids. In 50th International Colloquium on Automata, Languages, and Programming (Vol. 261). Paderborn, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ICALP.2023.74 

Resch, N., Yuan, C., &; Zhang, Y. (2023). Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery. In 50th International Colloquium on Automata, Languages, and Programming (Vol. 261). Paderborn, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ICALP.2023.99 

Grosjean, G. M., &; Waitukaitis, S. R. (2023). Single-collision statistics reveal a global mechanism driven by sample history for contact electrification in granular media. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.130.098202 

Sahu, R. (2023). Cavity quantum electrooptics. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:13175 

Sahu, R. (2023). Cavity quantum electrooptics. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12900 

Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., &; Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v37i12.26747 

Avni, G., Jecker, I. R., &; Zikelic, D. (2023). Bidding graph games with partially-observable budgets. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States.https://doi.org/10.1609/aaai.v37i5.25679 

Tojo, K., Shamir, A., Bickel, B., &; Umetani, N. (2023). Stealth shaper: Reflectivity optimization as surface stylization. In SIGGRAPH 2023 Conference Proceedings. Los Angeles, CA, United States: Association for Computing Machinery.https://doi.org/10.1145/3588432.3591542 

Ladle, D. R., &; Hippenmeyer, S. (2023). Loss of ET/E in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons. Journal of Neurophysiology. American Physiological Society.https://doi.org/10.1152/jn.00172.2022 

Henzinger, T. A., Karimi, M., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382). Paris, France: Springer Nature.https://doi.org/10.1007/978-3-031-37703-7_17 

Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele, A.,https://doi.org/10.1245/s10434-022-12459-3__Braicu, E. I. (2023). Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium. Annals of Surgical Oncology. Springer Nature.https://doi.org/10.1245/s10434-022-12459-3