Unterweger, I. A., Klepstad, J., Hannezo, E. B., Lundegaard, P. R., Trusina, A., &; Ober, E. A. (2023). Lineage tracing identifies heterogeneous hepatoblast contribution to cell lineages and postembryonic organ growth dynamics. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.3002315 
LibreCat: https://research-explorer.ista.ac.at/record/14426
DOI: 10.1371/journal.pbio.3002315

Dodis, Y., Ferguson, N., Goldin, E., Hall, P., &; Pietrzak, K. Z. (2023). Random oracle combiners: Breaking the concatenation barrier for collision-resistance. In 43rd Annual International Cryptology Conference (Vol. 14082, pp. 514–546). Santa Barbara, CA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-38545-2_17 
LibreCat: https://research-explorer.ista.ac.at/record/14428
DOI: 10.1007/978-3-031-38545-2_17

Leithner, A. F., Merrin, J., &; Sixt, M. K. (2023). En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses. In C. Baldari &; M. Dustin (Eds.), The Immune Synapse (Vol. 2654, pp. 137–147). New York, NY: Springer Nature.https://doi.org/10.1007/978-1-0716-3135-5_9 
LibreCat: https://research-explorer.ista.ac.at/record/13052
DOI: 10.1007/978-1-0716-3135-5_9
PMID: 37106180

Diao, Y. (2023). Density of the union of positive diagonal binary quadratic forms. Acta Arithmetica. Instytut Matematyczny.https://doi.org/10.4064/aa210830-24-11 
LibreCat: https://research-explorer.ista.ac.at/record/12406
DOI: 10.4064/aa210830-24-11
WoS: 000912903000001
arXiv: 2103.08268

Qiu, L., Sahu, R., Hease, W. J., Arnold, G. M., &; Fink, J. M. (2023). Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action. Nature Communications. Nature Research.https://doi.org/10.1038/s41467-023-39493-3 
LibreCat: https://research-explorer.ista.ac.at/record/13200
DOI: 10.1038/s41467-023-39493-3
WoS: 001018100800002
PMID: 37355691
arXiv: 2210.12443

Barbier, J., Camilli, F., Mondelli, M., &; Sáenz, M. (2023). Fundamental limits in structured principal component analysis and how to reach them. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.2302028120 
LibreCat: https://research-explorer.ista.ac.at/record/13315
DOI: 10.1073/pnas.2302028120
PMID: 37463204

Vardi, O., Maroudas-Sklare, N., Kolodny, Y., Volosniev, A., Saragovi, A., Galili, N.,https://doi.org/10.1073/pnas.2300828120__Paltiel, Y. (2023). Nuclear spin effects in biological processes. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.2300828120 
LibreCat: https://research-explorer.ista.ac.at/record/14037
DOI: 10.1073/pnas.2300828120
PMID: 37523549

Dubach, G., &; Erdös, L. (2023). Dynamics of a rank-one perturbation of a Hermitian matrix. Electronic Communications in Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/23-ECP516 
LibreCat: https://research-explorer.ista.ac.at/record/12683
DOI: 10.1214/23-ECP516
WoS: 000950650200005
arXiv: 2108.13694

Cipolloni, G., Erdös, L., &; Schröder, D. J. (2023). Functional central limit theorems for Wigner matrices. Annals of Applied Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/22-AAP1820 
LibreCat: https://research-explorer.ista.ac.at/record/12761
DOI: 10.1214/22-AAP1820
WoS: 000946432400015
arXiv: 2012.13218

Browning, T. D., Boudec, P. L., &; Sawin, W. (2023). The Hasse principle for random Fano hypersurfaces. Annals of Mathematics. Princeton University.https://doi.org/10.4007/annals.2023.197.3.3 
LibreCat: https://research-explorer.ista.ac.at/record/8682
DOI: 10.4007/annals.2023.197.3.3
WoS: 000966611000003
arXiv: 2006.02356

Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., &; Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0279838 
LibreCat: https://research-explorer.ista.ac.at/record/12706
DOI: 10.1371/journal.pone.0279838
WoS: 000996122900022
PMID: 36848357

Eguchi, K., Le Monnier, E., &; Shigemoto, R. (2023). Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons. The Journal of Neuroscience. Society for Neuroscience.https://doi.org/10.1523/JNEUROSCI.1514-22.2023 
LibreCat: https://research-explorer.ista.ac.at/record/13202
DOI: 10.1523/JNEUROSCI.1514-22.2023
WoS: 001020132100005
PMID: 37160366

Bonolis, D., &; Browning, T. D. (2023). Uniform bounds for rational points on hyperelliptic fibrations. Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze. Scuola Normale Superiore - Edizioni della Normale.https://doi.org/10.2422/2036-2145.202010_018 
LibreCat: https://research-explorer.ista.ac.at/record/12916
DOI: 10.2422/2036-2145.202010_018
arXiv: 2007.14182

Confavreux, B. J. (2023). Synapseek: Meta-learning synaptic plasticity rules. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14422 
LibreCat: https://research-explorer.ista.ac.at/record/14422
DOI: 10.15479/at:ista:14422

Roos, B. (2023). Boundary superconductivity in BCS theory. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14374 
LibreCat: https://research-explorer.ista.ac.at/record/14374
DOI: 10.15479/at:ista:14374

Hainzl, C., Roos, B., &; Seiringer, R. (2023). Boundary superconductivity in the BCS model. Journal of Spectral Theory. EMS Press.https://doi.org/10.4171/JST/439 
LibreCat: https://research-explorer.ista.ac.at/record/13207
DOI: 10.4171/JST/439
WoS: 000997933500008
arXiv: 2201.08090

Barton, N. H., Etheridge, A. M., &; Véber, A. (2023). The infinitesimal model with dominance. Genetics. Oxford Academic.https://doi.org/10.1093/genetics/iyad133 
LibreCat: https://research-explorer.ista.ac.at/record/14452
DOI: 10.1093/genetics/iyad133
arXiv: 2211.03515

Barton, N. H. (2023). The infinitesimal model with dominance. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12949 
LibreCat: https://research-explorer.ista.ac.at/record/12949
DOI: 10.15479/AT:ISTA:12949

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.
LibreCat: https://research-explorer.ista.ac.at/record/14461
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.
LibreCat: https://research-explorer.ista.ac.at/record/14462

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.
LibreCat: https://research-explorer.ista.ac.at/record/14459
arXiv: 2212.13468

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.
LibreCat: https://research-explorer.ista.ac.at/record/14460
arXiv: 2302.04852

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 
LibreCat: https://research-explorer.ista.ac.at/record/14457
DOI: 10.1007/978-3-031-44469-2_11

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.
LibreCat: https://research-explorer.ista.ac.at/record/14458
arXiv: 2301.00774

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 
LibreCat: https://research-explorer.ista.ac.at/record/14451
DOI: 10.1007/s00521-023-09033-7
arXiv: 2203.04579

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 
LibreCat: https://research-explorer.ista.ac.at/record/14442
DOI: 10.1140/epje/s10189-023-00354-y
PMID: 37819444

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 
LibreCat: https://research-explorer.ista.ac.at/record/14444
DOI: 10.1007/s11856-023-2513-9
arXiv: 2202.05088

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 
LibreCat: https://research-explorer.ista.ac.at/record/14454
DOI: 10.1007/978-3-031-44267-4_15
arXiv: 2308.00341

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 
LibreCat: https://research-explorer.ista.ac.at/record/14446
DOI: 10.2478/msr-2023-0023

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 
LibreCat: https://research-explorer.ista.ac.at/record/14443
DOI: 10.1001/jamapsychiatry.2023.2996
PMID: 37610741

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 
LibreCat: https://research-explorer.ista.ac.at/record/14441
DOI: 10.1007/s00220-023-04841-3
arXiv: 2207.03156

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 
LibreCat: https://research-explorer.ista.ac.at/record/14448
DOI: 10.1109/CVPR52729.2023.01153
arXiv: 2010.09567

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 
LibreCat: https://research-explorer.ista.ac.at/record/12672
DOI: 10.1016/j.celrep.2023.112132
WoS: 000944921600001

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 
LibreCat: https://research-explorer.ista.ac.at/record/13178
DOI: 10.1017/fms.2023.45
WoS: 001005008800001
arXiv: 2203.02454

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 
LibreCat: https://research-explorer.ista.ac.at/record/14484
DOI: 10.1146/annurev-cellbio-020823-011522
PMID: 37418774

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 
LibreCat: https://research-explorer.ista.ac.at/record/14488
DOI: 10.1007/s11263-023-01899-3

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 
LibreCat: https://research-explorer.ista.ac.at/record/14487
DOI: 10.1029/2022WR033841

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 
LibreCat: https://research-explorer.ista.ac.at/record/14485
DOI: 10.4230/LIPIcs.DISC.2023.35

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 
LibreCat: https://research-explorer.ista.ac.at/record/14486
DOI: 10.1103/PhysRevResearch.5.043016
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 
LibreCat: https://research-explorer.ista.ac.at/record/14313
DOI: 10.1016/j.pbi.2023.102443
PMID: 37666097

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 
LibreCat: https://research-explorer.ista.ac.at/record/14494
DOI: 10.5281/ZENODO.8402426

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 
LibreCat: https://research-explorer.ista.ac.at/record/14499
DOI: 10.1017/fmp.2023.17
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 
LibreCat: https://research-explorer.ista.ac.at/record/14281
DOI: 10.1126/science.adg7731
PMID: 37590357

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 
LibreCat: https://research-explorer.ista.ac.at/record/14294
DOI: 10.1101/2023.03.14.532666

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 
LibreCat: https://research-explorer.ista.ac.at/record/14513
DOI: 10.1016/j.physrep.2023.10.004
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 
LibreCat: https://research-explorer.ista.ac.at/record/12869
DOI: 10.15479/AT:ISTA:12869

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 
LibreCat: https://research-explorer.ista.ac.at/record/12890
DOI: 10.1103/PhysRevE.108.054307
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 
LibreCat: https://research-explorer.ista.ac.at/record/14516
DOI: 10.4230/LIPIcs.AFT.2023.7

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 
LibreCat: https://research-explorer.ista.ac.at/record/14517
DOI: 10.1103/PhysRevApplied.20.044054
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 
LibreCat: https://research-explorer.ista.ac.at/record/14515
DOI: 10.1103/PhysRevX.13.041017
arXiv: 2203.03461