Estimation of the Regularization Parameter in Linear Discrete Ill-Posed Problems Using the Picard Parameter. - Eitan Levin; Alexander Y. Meltzer (SIAM J. Sci. Comput., 2017)

3D ab initio modeling in cryo-EM by autocorrelation analysis. - Eitan Levin; Tamir Bendory; Nicolas Boumal; Joe Kileel 001; Amit Singer (ISBI, 2018)

Multi-target detection with application to cryo-electron microscopy. - Tamir Bendory; Nicolas Boumal; William E. Leeb; Eitan Levin; Amit Singer (CoRR, 2019)

A note on Douglas-Rachford, subgradients, and phase retrieval. - Eitan Levin; Tamir Bendory (CoRR, 2019)

Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy. - Eitan Levin; Joe Kileel 001; Nicolas Boumal (Math. Program., 2023)

Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit. - Tamir Bendory; Nicolas Boumal; William E. Leeb; Eitan Levin; Amit Singer (SIAM J. Imaging Sci., 2023)

Any-dimensional equivariant neural networks. - Eitan Levin; Mateo Díaz (AISTATS, 2024)

The effect of smooth parametrizations on nonconvex optimization landscapes. - Eitan Levin; Joe Kileel 001; Nicolas Boumal (Math. Program., 2025)

On Transferring Transferability: Towards a Theory for Size Generalization. - Eitan Levin; Yuxin Ma; Mateo Díaz; Soledad Villar (CoRR, 2025)

Poset-Markov Channels: Capacity via Group Symmetry. - Eray Unsal Atay; Eitan Levin; Venkat Chandrasekaran; Victoria Kostina (CoRR, 2025)