Kernel-based parameter estimation of dynamical systems with unknown observation functions. - Ofir Lindenbaum; Amir Sagiv; Gal Mishne; Ronen Talmon (CoRR, 2020)

Density Estimation in Uncertainty Propagation Problems Using a Surrogate Model. - Adi Ditkowski; Gadi Fibich; Amir Sagiv (SIAM/ASA J. Uncertain. Quantification, 2020)

Transport and Interface: An Uncertainty Principle for the Wasserstein Distance. - Amir Sagiv; Stefan Steinerberger (SIAM J. Math. Anal., 2020)

Spectral convergence of probability densities. - Amir Sagiv (CoRR, 2021)

Spectral convergence of probability densities for forward problems in uncertainty quantification. - Amir Sagiv (Numerische Mathematik, 2022)

Effective Gaps in Continuous Floquet Hamiltonians. - Amir Sagiv; Michael I. Weinstein (SIAM J. Math. Anal., 2022)

Radiative Decay of Edge States in Floquet Media. - Sameh N. Hameedi; Amir Sagiv; Michael I. Weinstein (Multiscale Model. Simul., 2023)

Minimizing Optimal Transport for Functions with Fixed-Size Nodal Sets. - Qiang Du 001; Amir Sagiv (J. Nonlinear Sci., 2023)

An approximation theory framework for measure-transport sampling algorithms. - Ricardo Baptista; Bamdad Hosseini; Nikola B. Kovachki; Youssef Marzouk 001; Amir Sagiv (Math. Comput., 2024)

Dispersive Decay Estimates for Dirac Equations with a Domain Wall. - Joseph Kraisler; Amir Sagiv; Michael I. Weinstein (SIAM J. Math. Anal., 2024)

The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data. - Alina Chertock; Pierre Degond; Amir Sagiv; Li Wang (CoRR, 2025)