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Cipolloni, G., Erdös, L., &; Schröder, D. J. (2020). Optimal lower bound on the least singular value of the shifted Ginibre ensemble. Probability and Mathematical Physics. Mathematical Sciences Publishers.https://doi.org/10.2140/pmp.2020.1.101 
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Erdös, L., Götze, F., &; Guionnet, A. (2020). Random matrices. Oberwolfach Reports. European Mathematical Society.https://doi.org/10.4171/owr/2019/56 
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Geher, G. P., Titkos, T., &; Virosztek, D. (2019). Dirac masses and isometric rigidity. In Kyoto RIMS Kôkyûroku (Vol. 2125, pp. 34–41). Kyoto, Japan: Research Institute for Mathematical Sciences, Kyoto University.
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Betea, D., Bouttier, J., Nejjar, P., &; Vuletíc, M. (2019). New edge asymptotics of skew Young diagrams via free boundaries. In Proceedings on the 31st International Conference on Formal Power Series and Algebraic Combinatorics. Ljubljana, Slovenia: Formal Power Series and Algebraic Combinatorics.
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Virosztek, D. (2019). Jointly convex quantum Jensen divergences. Linear Algebra and Its Applications. Elsevier.https://doi.org/10.1016/j.laa.2018.03.002 
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Ajanki, O. H., Erdös, L., &; Krüger, T. H. (2019). Stability of the matrix Dyson equation and random matrices with correlations. Probability Theory and Related Fields. Springer.https://doi.org/10.1007/s00440-018-0835-z 
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Sadel, C., &; Xu, D. (2019). Singular analytic linear cocycles with negative infinite Lyapunov exponents. Ergodic Theory and Dynamical Systems. Cambridge University Press.https://doi.org/10.1017/etds.2017.52 
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Bao, Z., Erdös, L., &; Schnelli, K. (2019). Local single ring theorem on optimal scale. Annals of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/18-AOP1284 
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Gehér, G. P., Titkos, T., &; Virosztek, D. (2019). On isometric embeddings of Wasserstein spaces – the discrete case. Journal of Mathematical Analysis and Applications. Elsevier.https://doi.org/10.1016/j.jmaa.2019.123435 
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Akemann, G., Checinski, T., Liu, D., &; Strahov, E. (2019). Finite rank perturbations in products of coupled random matrices: From one correlated to two Wishart ensembles. Annales de l’Institut Henri Poincaré, Probabilités et Statistiques. Institute of Mathematical Statistics.https://doi.org/10.1214/18-aihp888 
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Erdös, L., Krüger, T. H., &; Schröder, D. J. (2019). Random matrices with slow correlation decay. Forum of Mathematics, Sigma. Cambridge University Press.https://doi.org/10.1017/fms.2019.2 
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Cipolloni, G., Erdös, L., Krüger, T. H., &; Schröder, D. J. (2019). Cusp universality for random matrices, II: The real symmetric case. Pure and Applied Analysis . MSP.https://doi.org/10.2140/paa.2019.1.615 
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Dietlein, A. M., Gebert, M., &; Müller, P. (2019). Perturbations of continuum random Schrödinger operators with applications to Anderson orthogonality and the spectral shift function. Journal of Spectral Theory. European Mathematical Society Publishing House.https://doi.org/10.4171/jst/267 
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Ferrari, P., Ghosal, P., &; Nejjar, P. (2019). Limit law of a second class particle in TASEP with non-random initial condition. Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute of Mathematical Statistics.https://doi.org/10.1214/18-AIHP916 
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Alt, J., Erdös, L., Krüger, T. H., &; Nemish, Y. (2019). Location of the spectrum of Kronecker random matrices. Annales de l’institut Henri Poincare. Institut Henri Poincaré.https://doi.org/10.1214/18-AIHP894 
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Schröder, D. J. (2019). From Dyson to Pearcey: Universal statistics in random matrix theory. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th6179 
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Lee, J., &; Schnelli, K. (2018). Local law and Tracy–Widom limit for sparse random matrices. Probability Theory and Related Fields. Springer.https://doi.org/10.1007/s00440-017-0787-8 
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arXiv: 1605.08767

Alt, J., Erdös, L., &; Krüger, T. H. (2018). Local inhomogeneous circular law. Annals Applied Probability . Institute of Mathematical Statistics.https://doi.org/10.1214/17-AAP1302 
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Erdös, L., Krüger, T. H., &; Renfrew, D. T. (2018). Power law decay for systems of randomly coupled differential equations. SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics .https://doi.org/10.1137/17M1143125 
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arXiv: 1708.01546