Deformable Shape Retrieval by Learning Diffusion Kernels. - Yonathan Aflalo; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel (SSVM, 2011)

Measuring Geodesic Distances via the Uniformization Theorem. - Yonathan Aflalo; Ron Kimmel (SSVM, 2011)

The Laplace-Beltrami Operator: A Ubiquitous Tool for Image and Shape Processing. - Aaron Wetzler; Yonathan Aflalo; Anastasia Dubrovina; Ron Kimmel (ISMM, 2013)

Scale Invariant Geometry for Nonrigid Shapes. - Yonathan Aflalo; Ron Kimmel; Dan Raviv (SIAM J. Imaging Sci., 2013)

Conformal Mapping with as Uniform as Possible Conformal Factor. - Yonathan Aflalo; Ron Kimmel; Michael Zibulevsky (SIAM J. Imaging Sci., 2013)

Graph matching: relax or not? - Yonathan Aflalo; Alexander M. Bronstein; Ron Kimmel (CoRR, 2014)

Classical Scaling Revisited. - Gil Shamai; Yonathan Aflalo; Michael Zibulevsky; Ron Kimmel (ICCV, 2015)

Computational caricaturization of surfaces. - Matan Sela; Yonathan Aflalo; Ron Kimmel (Comput. Vis. Image Underst., 2015)

On the Optimality of Shape and Data Representation in the Spectral Domain. - Yonathan Aflalo; Haim Brezis; Ron Kimmel (SIAM J. Imaging Sci., 2015)

Non-rigid Shape Correspondence Using Surface Descriptors and Metric Structures in the Spectral Domain. - Anastasia Dubrovina; Yonathan Aflalo; Ron Kimmel (Perspectives in Shape Analysis, 2016)

Spectral Generalized Multi-dimensional Scaling. - Yonathan Aflalo; Anastasia Dubrovina; Ron Kimmel (Int. J. Comput. Vis., 2016)

Knapsack Pruning with Inner Distillation. - Yonathan Aflalo; Asaf Noy; Ming Lin; Itamar Friedman; Lihi Zelnik-Manor (CoRR, 2020)

HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search. - Niv Nayman; Yonathan Aflalo; Asaf Noy; Lihi Zelnik (ICML, 2021)

On the Convergence of Deep Networks with Sample Quadratic Overparameterization. - Asaf Noy; Yi Xu 008; Yonathan Aflalo; Rong Jin 001 (CoRR, 2021)

IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search. - Niv Nayman; Yonathan Aflalo; Asaf Noy; Rong Jin 001; Lihi Zelnik-Manor (CoRR, 2021)

BINAS: Bilinear Interpretable Neural Architecture Search. - Niv Nayman; Yonathan Aflalo; Asaf Noy; Lihi Zelnik-Manor (ACML, 2022)