. Reduced Order Methods for Parametrized Non-linear and Time Dependent Optimal Flow Control Problems, Towards Applications in Biomedical and Environmental Sciences. In: Numerical Mathematics and Advanced Applications ENUMATH 2019. Numerical Mathematics and Advanced Applications ENUMATH 2019. Cham: Springer International Publishing; 2021. Available from: https://www.springerprofessional.de/en/reduced-order-methods-for-parametrized-non-linear-and-time-depen/19122676
. POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation. Journal of Scientific Computing. 2020 ;83.
. POD–Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation. Journal of Scientific Computing. 2020 ;83.
. Model Order Reduction for Nonlinear and Time-Dependent Parametric Optimal Flow Control Problems. 2021 .
. Existence of Riemannian metrics with positive biorthogonal curvature on simply connected 5-manifolds. Archiv der Mathematik [Internet]. 2020 :1–9. Available from: https://dx.doi.org/10.1007/s00013-020-01511-x
. Wilson loops and its correlators with chiral operators in $\mathcalN=2, 4$ SCFT at large $N$. JHEP. 2018 ;03:155.
. Wilson loop and its correlators in the limit of large coupling constant. Nucl. Phys. B. 2018 ;936:383–399.
. Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks. In: The Thirty-eighth Annual Conference on Neural Information Processing Systems. The Thirty-eighth Annual Conference on Neural Information Processing Systems. ; 2024. Available from: https://openreview.net/forum?id=uHml6eyoVF
. Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks. In: The Thirty-eighth Annual Conference on Neural Information Processing Systems. The Thirty-eighth Annual Conference on Neural Information Processing Systems. ; 2024. Available from: https://openreview.net/forum?id=uHml6eyoVF
. Pfaffian representations of cubic surfaces. [Internet]. 2014 . Available from: http://urania.sissa.it/xmlui/handle/1963/34688
. On the continuity of the trace operator in GSBV (Ω) and GSBD (Ω). ESAIM: COCV [Internet]. 2020 ;26. Available from: https://doi.org/10.1051/cocv/2019014
. On the blow-up of GSBV functions under suitable geometric properties of the jump set. Advances in Calculus of Variations [Internet]. 2020 . Available from: https://doi.org/10.1515/acv-2019-0068
. Weak formulation of elastodynamics in domains with growing cracks. [Internet]. 2020 ;199(4):1571 - 1595. Available from: https://doi.org/10.1007/s10231-019-00932-y
. Semicartesian surfaces and the relaxed area of maps from the plane to the plane with a line discontinuity.; 2015. Available from: http://urania.sissa.it/xmlui/handle/1963/34483
. Results on the minimization of the Dirichlet functional among semicartesian parametrizations.; 2015. Available from: http://urania.sissa.it/xmlui/handle/1963/34488
. Quadratic forms for singular perturbations of the Laplacian. Publ. Res. Inst. Math. Sci. 26 (1990), no. 5, 803--817 [Internet]. 1990 . Available from: http://hdl.handle.net/1963/757
. Singular perturbation of the Laplacian and connections with models of random media. [Internet]. 1989 . Available from: http://hdl.handle.net/1963/6348
. PyGeM: Python Geometrical Morphing. Software Impacts. 2021 ;7:100047.
. Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods. In: Mathematical and Numerical Modeling of the Cardiovascular System and Applications. Mathematical and Numerical Modeling of the Cardiovascular System and Applications. Springer; 2018. pp. 185–207.
. Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems. Advanced Modeling and Simulation in Engineering Sciences. 2018 ;5:25.
. Enhancing CFD predictions in shape design problems by model and parameter space reduction. Advanced Modeling and Simulation in Engineering Sciences [Internet]. 2020 ;7(40). Available from: https://arxiv.org/abs/2001.05237

