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Dello Schiavo, L., &; Lytvynov, E. (2023). A Mecke-type characterization of the Dirichlet–Ferguson measure. Electronic Communications in Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/23-ECP528 

Volberg, A., &; Zhang, H. (2023). Noncommutative Bohnenblust–Hille inequalities. Mathematische Annalen. Springer Nature.https://doi.org/10.1007/s00208-023-02680-0 

Zhang, H. (2023). Some convexity and monotonicity results of trace functionals. Annales Henri Poincare. Springer Nature.https://doi.org/10.1007/s00023-023-01345-7 

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Wirth, M. (2022). Kac regularity and domination of quadratic forms. Advances in Operator Theory. Springer Nature.https://doi.org/10.1007/s43036-022-00199-w 

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Wirth, M. (2022). A dual formula for the noncommutative transport distance. Journal of Statistical Physics. Springer Nature.https://doi.org/10.1007/s10955-022-02911-9 

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Dello Schiavo, L. (2022). The Dirichlet–Ferguson diffusion on the space of probability measures over a closed Riemannian manifold. Annals of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/21-AOP1541 

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Feliciangeli, D. (2021). The polaron at strong coupling. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9733 

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Maas, J., &; Mielke, A. (2020). Modeling of chemical reaction systems with detailed balance using gradient structures. Journal of Statistical Physics. Springer Nature.https://doi.org/10.1007/s10955-020-02663-4 

Forkert, D. L. (2020). Gradient flows in spaces of probability measures for finite-volume schemes, metric graphs and non-reversible Markov chains. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7629 

Gladbach, P., Kopfer, E., Maas, J., &; Portinale, L. (2020). Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. Elsevier.https://doi.org/10.1016/j.matpur.2020.02.008 

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Maas, J., Rumpf, M., &; Simon, S. (2017). Transport based image morphing with intensity modulation. In F. Lauze, Y. Dong, &; A. Bjorholm Dahl (Eds.) (Vol. 10302, pp. 563–577). Presented at the SSVM:  Scale Space and Variational Methods in Computer Vision, Kolding, Denmark: Springer.https://doi.org/10.1007/978-3-319-58771-4_45 

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