Gerencser, M. (2020). Nondivergence form quasilinear heat equations driven by space-time white noise. Annales de l’Institut Henri Poincaré C, Analyse Non Linéaire. Elsevier.https://doi.org/10.1016/j.anihpc.2020.01.003 

Zhang, H. (2020). From Wigner-Yanase-Dyson conjecture to Carlen-Frank-Lieb conjecture. Advances in Mathematics. Elsevier.https://doi.org/10.1016/j.aim.2020.107053 

Zhang, H. (2020). Equality conditions of data processing inequality for ;1-z Rényi relative entropies. Journal of Mathematical Physics. AIP Publishing.https://doi.org/10.1063/5.0022787 

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 

Forkert, D. L., Maas, J., &; Portinale, L. (n.d.). Evolutionary -convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv.

Gladbach, P., Kopfer, E., &; Maas, J. (2020). Scaling limits of discrete optimal transport. SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/19M1243440 

Dareiotis, K., &; Gerencser, M. (2020). On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift. Electronic Journal of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/20-EJP479 

Redig, F., Saada, E., &; Sau, F. (2020). Symmetric simple exclusion process in dynamic environment: Hydrodynamics. Electronic Journal of Probability.https://doi.org/10.1214/20-EJP536__Institute of Mathematical Statistics.https://doi.org/10.1214/20-EJP536 

Portinale, L., &; Stefanelli, U. (2019). Penalization via global functionals of optimal-control problems for dissipative evolution. Advances in Mathematical Sciences and Applications. Gakko Tosho.

Gerencser, M., &; Gyöngy, I. (2019). A Feynman–Kac formula for stochastic Dirichlet problems. Stochastic Processes and Their Applications. Elsevier.https://doi.org/10.1016/j.spa.2018.04.003 

Dareiotis, K., Gerencser, M., &; Gess, B. (2019). Entropy solutions for stochastic porous media equations. Journal of Differential Equations. Elsevier.https://doi.org/10.1016/j.jde.2018.09.012 

Gerencser, M., &; Hairer, M. (2019). Singular SPDEs in domains with boundaries. Probability Theory and Related Fields. Springer.https://doi.org/10.1007/s00440-018-0841-1 

Gerencser, M., &; Hairer, M. (2019). A solution theory for quasilinear singular SPDEs. Communications on Pure and Applied Mathematics. Wiley.https://doi.org/10.1002/cpa.21816 

Gerencser, M. (2019). Boundary regularity of stochastic PDEs. Annals of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/18-AOP1272 

Flandoli, F., Priola, E., &; Zanco, G. A. (2019). A mean-field model with discontinuous coefficients for neurons with spatial interaction. Discrete and Continuous Dynamical Systems. American Institute of Mathematical Sciences.https://doi.org/10.3934/dcds.2019126 

Erbar, M., Maas, J., &; Wirth, M. (2019). On the geometry of geodesics in discrete optimal transport. Calculus of Variations and Partial Differential Equations. Springer.https://doi.org/10.1007/s00526-018-1456-1 

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 

Flandoli, F., Russo, F., &; Zanco, G. A. (2018). Infinite-dimensional calculus under weak spatial regularity of the processes. Journal of Theoretical Probability. Springer.https://doi.org/10.1007/s10959-016-0724-2