Barton, N. H. (2023). The infinitesimal model with dominance. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12949 
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Markov, I., Vladu, A., Guo, Q., &; Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press.
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arXiv: 2302.02390

Fichtenberger, H., Henzinger, M. H., &; Upadhyay, J. (2023). Constant matters: Fine-grained error bound on differentially private continual observation. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10072–10092). Honolulu, Hawaii, HI, United States: ML Research Press.
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Shevchenko, A., Kögler, K., Hassani, H., &; Mondelli, M. (2023). Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 31151–31209). Honolulu, Hawaii, HI, United States: ML Research Press.
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Nikdan, M., Pegolotti, T., Iofinova, E. B., Kurtic, E., &; Alistarh, D.-A. (2023). SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 26215–26227). Honolulu, Hawaii, HI, United States: ML Research Press.
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Hoffmann, C., &; Simkin, M. (2023). Stronger lower bounds for leakage-resilient secret sharing. In 8th International Conference on Cryptology and Information Security in Latin America (Vol. 14168, pp. 215–228). Quito, Ecuador: Springer Nature.https://doi.org/10.1007/978-3-031-44469-2_11 
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Frantar, E., &; Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.
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Cornalba, F., Disselkamp, C., Scassola, D., &; Helf, C. (2023). Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. Springer Nature.https://doi.org/10.1007/s00521-023-09033-7 
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Rojas Vega, M. N., De Castro, P., &; Soto, R. (2023). Mixtures of self-propelled particles interacting with asymmetric obstacles. The European Physical Journal E. Springer Nature.https://doi.org/10.1140/epje/s10189-023-00354-y 
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Kwan, M. A., Sah, A., Sawhney, M., &; Simkin, M. (2023). Substructures in Latin squares. Israel Journal of Mathematics. Springer Nature.https://doi.org/10.1007/s11856-023-2513-9 
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Henzinger, T. A., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness under partial observations. In 23rd International Conference on Runtime Verification (Vol. 14245, pp. 291–311). Thessaloniki, Greece: Springer Nature.https://doi.org/10.1007/978-3-031-44267-4_15 
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Jakubík, J., Phuong, M., Chvosteková, M., &; Krakovská, A. (2023). Against the flow of time with multi-output models. Measurement Science Review. Sciendo.https://doi.org/10.2478/msr-2023-0023 
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Schumann, G., Andreassen, O. A., Banaschewski, T., Calhoun, V. D., Clinton, N., Desrivieres, S.,https://doi.org/10.1001/jamapsychiatry.2023.2996__Westlye, L. (2023). Addressing global environmental challenges to mental health using population neuroscience: A review. JAMA Psychiatry. American Medical Association.https://doi.org/10.1001/jamapsychiatry.2023.2996 
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Brooks, M., &; Seiringer, R. (2023). The Fröhlich Polaron at strong coupling: Part I - The quantum correction to the classical energy. Communications in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s00220-023-04841-3 
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Kolmogorov, V. (2023). Solving relaxations of MAP-MRF problems: Combinatorial in-face Frank-Wolfe directions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2023, pp. 11980–11989). Vancouver, Canada: IEEE.https://doi.org/10.1109/CVPR52729.2023.01153 
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Lyons, D. B., Briffa, A., He, S., Choi, J., Hollwey, E., Colicchio, J.,https://doi.org/10.1016/j.celrep.2023.112132__Zilberman, D. (2023). Extensive de novo activity stabilizes epigenetic inheritance of CG methylation in Arabidopsis transposons. Cell Reports. Elsevier.https://doi.org/10.1016/j.celrep.2023.112132 
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Mitrouskas, D. J., Mysliwy, K., &; Seiringer, R. (2023). Optimal parabolic upper bound for the energy-momentum relation of a strongly coupled polaron. Forum of Mathematics. Cambridge University Press.https://doi.org/10.1017/fms.2023.45 
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Kicheva, A., &; Briscoe, J. (2023). Control of tissue development by morphogens. Annual Review of Cell and Developmental Biology. Annual Reviews.https://doi.org/10.1146/annurev-cellbio-020823-011522 
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Rao, P., Mallikarjun, B. R., Fox, G., Weyrich, T., Bickel, B., Pfister, H.,https://doi.org/10.1007/s11263-023-01899-3__Elgharib, M. (2023). A deeper analysis of volumetric relightiable faces. International Journal of Computer Vision. Springer Nature.https://doi.org/10.1007/s11263-023-01899-3 
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Buri, P., Fatichi, S., Shaw, T., Miles, E. S., McCarthy, M., Fyffe, C. L.,https://doi.org/10.1029/2022WR033841__Pellicciotti, F. (2023). Land surface modeling in the Himalayas: On the importance of evaporative fluxes for the water balance of a high-elevation catchment. Water Resources Research. Wiley.https://doi.org/10.1029/2022WR033841 
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Aksenov, V., Anoprenko, M., Fedorov, A., &; Spear, M. (2023). Brief announcement: BatchBoost: Universal batching for concurrent data structures. In 37th International Symposium on Distributed Computing (Vol. 281). L’Aquila, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.DISC.2023.35 
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Koutentakis, G., Ghazaryan, A., &; Lemeshko, M. (2023). Rotor lattice model of ferroelectric large polarons. Physical Review Research. American Physical Society.https://doi.org/10.1103/PhysRevResearch.5.043016 
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arXiv: 2301.09875

Fiedler, L., &; Friml, J. (2023). Rapid auxin signaling: Unknowns old and new. Current Opinion in Plant Biology. Elsevier.https://doi.org/10.1016/j.pbi.2023.102443 
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Buri, P., Fatichi, S., Shaw, T., Miles, E., McCarthy, M., Fyffe, C. L.,https://doi.org/10.5281/ZENODO.8402426__Pellicciotti, F. (2023). Model output data to “Land surface modeling in the Himalayas: on the importance of evaporative fluxes for the water balance of a high elevation catchment.”https://doi.org/10.5281/ZENODO.8402426__Zenodo.https://doi.org/10.5281/ZENODO.8402426 
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Kwan, M. A., Sah, A., Sauermann, L., &; Sawhney, M. (2023). Anticoncentration in Ramsey graphs and a proof of the Erds–McKay conjecture. Forum of Mathematics, Pi. Cambridge University Press.https://doi.org/10.1017/fmp.2023.17 
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arXiv: 2208.02874

Praetorius, F. M., Leung, P. J. Y., Tessmer, M. H., Broerman, A., Demakis, C., Dishman, A. F.,https://doi.org/10.1126/science.adg7731__Baker, D. (2023). Design of stimulus-responsive two-state hinge proteins. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.adg7731 
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Edman, N. I., Redler, R. L., Phal, A., Schlichthaerle, T., Srivatsan, S. R., Etemadi, A.,https://doi.org/10.1101/2023.03.14.532666__Baker, D. (n.d.). Modulation of FGF pathway signaling and vascular differentiation using designed oligomeric assemblies. bioRxiv.https://doi.org/10.1101/2023.03.14.532666 
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Mistakidis, S. I., Volosniev, A., Barfknecht, R. E., Fogarty, T., Busch, T., Foerster, A.,https://doi.org/10.1016/j.physrep.2023.10.004__Zinner, N. T. (2023). Few-body Bose gases in low dimensions - A laboratory for quantum dynamics. Physics Reports. Elsevier.https://doi.org/10.1016/j.physrep.2023.10.004 
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arXiv: 2202.11071

Klausen, F. R., &; Lauritsen, A. B. (2023). Research data for: A stochastic cellular automaton model of culture formation. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12869 
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Klausen, F. R., &; Lauritsen, A. B. (2023). Stochastic cellular automaton model of culture formation. Physical Review E. American Physical Society.https://doi.org/10.1103/PhysRevE.108.054307 
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arXiv: 2305.02153

Beaver, D., Kelkar, M., Lewi, K., Nikolaenko, V., Sonnino, A., Chalkias, K.,https://doi.org/10.4230/LIPIcs.AFT.2023.7__Roy, A. (2023). STROBE: Streaming Threshold Random Beacons. In 5th Conference on Advances in Financial Technologies (Vol. 282). Princeton, NJ, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.AFT.2023.7 
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Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., &; Fink, J. M. (2023). Compact vacuum-gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Physical Review Applied. American Physical Society.https://doi.org/10.1103/PhysRevApplied.20.044054 
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arXiv: 2206.14104

Reinhardt, M., Tkadik, G., &; Ten Wolde, P. R. (2023). Path weight sampling: Exact Monte Carlo computation of the mutual information between stochastic trajectories. Physical Review X. American Physical Society.https://doi.org/10.1103/PhysRevX.13.041017 
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arXiv: 2203.03461

Binysh, J., Chakraborty, I., Chubynsky, M. V., Diaz Melian, V. L., Waitukaitis, S. R., Sprittles, J. E., &; Souslov, A. (2023). Modeling Leidenfrost levitation of soft elastic solids. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.131.168201 
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DOI: 10.1103/PhysRevLett.131.168201

Binysh, J., Chakraborty, I., Chubynsky, M., Diaz Melian, V. L., Waitukaitis, S. R., Sprittles, J., &; Souslov, A. (2023). SouslovLab/PRL2023-ModellingLeidenfrostLevitationofSoftElasticSolids: .0.1. Zenodo.https://doi.org/10.5281/ZENODO.8329143 
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Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., &; Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press.https://doi.org/10.3233/FAIA230264 
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arXiv: 2307.15218

Degen, M., Santos, J. C., Pluhackova, K., Cebrero, G., Ramos, S., Jankevicius, G.,https://doi.org/10.1038/s41586-023-05991-z__Hiller, S. (2023). Structural basis of NINJ1-mediated plasma membrane rupture in cell death. Nature. Springer Nature.https://doi.org/10.1038/s41586-023-05991-z 
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Farag, N. L., Jethwa, R. B., Beardmore, A. E., Insinna, T., O’Keefe, C. A., Klusener, P. A. A.,https://doi.org/10.1002/cssc.202300128__Wright, D. S. (2023). Triarylamines as catholytes in aqueous organic redox flow batteries. ChemSusChem. Wiley.https://doi.org/10.1002/cssc.202300128 
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Hernandez, J.-A., Bethkenhagen, M., Ninet, S., French, M., Benuzzi-Mounaix, A., Datchi, F.,https://doi.org/10.1038/s41567-023-02074-8__Ravasio, A. (2023). Melting curve of superionic ammonia at planetary interior conditions. Nature Physics. Springer Nature.https://doi.org/10.1038/s41567-023-02074-8 
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Helson, V., Zwettler, T., Mivehvar, F., Colella, E., Roux, K. E. R., Konishi, H.,https://doi.org/10.1038/s41586-023-06018-3__Brantut, J. P. (2023). Density-wave ordering in a unitary Fermi gas with photon-mediated interactions. Nature. Springer Nature.https://doi.org/10.1038/s41586-023-06018-3 
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Feliciangeli, D., Gerolin, A., &; Portinale, L. (2023). A non-commutative entropic optimal transport approach to quantum composite systems at positive temperature. Journal of Functional Analysis. Elsevier.https://doi.org/10.1016/j.jfa.2023.109963 
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arXiv: 2106.11217

Hua, B., Keller, M., Schwarz, M., &; Wirth, M. (2023). Sobolev-type inequalities and eigenvalue growth on graphs with finite measure. Proceedings of the American Mathematical Society. American Mathematical Society.https://doi.org/10.1090/proc/14361 
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Bhattacharya, S., Henzinger, M. H., Nanongkai, D., &; Wu, X. (2023). Deterministic near-optimal approximation algorithms for dynamic set cover. SIAM Journal on Computing. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/21M1428649 
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Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature.https://doi.org/10.1007/978-3-031-45329-8_17 
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Cornalba, F., &; Shardlow, T. (2023). The regularised inertial Dean’ Kawasaki equation: Discontinuous Galerkin approximation and modelling for low-density regime. ESAIM: Mathematical Modelling and Numerical Analysis. EDP Sciences.https://doi.org/10.1051/m2an/2023077 
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Berdan, E. L., Barton, N. H., Butlin, R., Charlesworth, B., Faria, R., Fragata, I.,https://doi.org/10.1111/jeb.14242__Flatt, T. (2023). How chromosomal inversions reorient the evolutionary process. Journal of Evolutionary Biology. Wiley.https://doi.org/10.1111/jeb.14242 
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Riedl, M., &; Sixt, M. K. (2023). The excitable nature of polymerizing actin and the Belousov-Zhabotinsky reaction. Frontiers in Cell and Developmental Biology. Frontiers.https://doi.org/10.3389/fcell.2023.1287420 
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Kaiyrzhanov, R., Rad, A., Lin, S.-J., Bertoli-Avella, A., Kallemeijn, W. W., Godwin, A.,https://doi.org/10.1093/brain/awad380__Maroofian, R. (2023). Bi-allelic ACB variants lead to a neurodevelopmental syndrome with progressive and complex movement disorders. Brain. Oxford University Press.https://doi.org/10.1093/brain/awad380 
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Henheik, S. J., Lauritsen, A. B., &; Roos, B. (2023). Universality in low-dimensional BCS theory. Reviews in Mathematical Physics. World Scientific Publishing.https://doi.org/10.1142/s0129055x2360005x 
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arXiv: 2301.05621

Fedotova, E., Kuznetsov, N., Tiunov, E., Ulanov, A. E., &; Lvovsky, A. I. (2023). Continuous-variable quantum tomography of high-amplitude states. Physical Review A. American Physical Society.https://doi.org/10.1103/PhysRevA.108.042430 
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arXiv: 2212.07406