Registration of joint geometric and radiometric image deformation. - Shahar Z. Kovalsky; Rami R. Hagege; Joseph M. Francos (SIP, 2007)

Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images. - Shahar Z. Kovalsky; Guy Cohen; Rami R. Hagege; Joseph M. Francos (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields. - Shahar Z. Kovalsky; Guy Cohen; Joseph M. Francos (IEEE Trans. Inf. Theory, 2011)

Global Motion Estimation from Point Matches. - Mica Arie-Nachimson; Shahar Z. Kovalsky; Ira Kemelmacher-Shlizerman; Amit Singer; Ronen Basri (3DIMPVT, 2012)

Controlling singular values with semidefinite programming. - Shahar Z. Kovalsky; Noam Aigerman; Ronen Basri; Yaron Lipman (ACM Trans. Graph., 2014)

Identification of structured LTI MIMO state-space models. - Chengpu Yu; Michel Verhaegen; Shahar Z. Kovalsky; Ronen Basri (CDC, 2015)

Tight Relaxation of Quadratic Matching. - Itay Kezurer; Shahar Z. Kovalsky; Ronen Basri; Yaron Lipman (Comput. Graph. Forum, 2015)

Learning 3D Articulation and Deformation using 2D Images. - Angjoo Kanazawa; Shahar Z. Kovalsky; Ronen Basri; David W. Jacobs (CoRR, 2015)

A Global Approach for Solving Edge-Matching Puzzles. - Shahar Z. Kovalsky; Daniel Glasner; Ronen Basri (SIAM J. Imaging Sci., 2015)

Large-scale bounded distortion mappings. - Shahar Z. Kovalsky; Noam Aigerman; Ronen Basri; Yaron Lipman (ACM Trans. Graph., 2015)

Learning 3D Deformation of Animals from 2D Images. - Angjoo Kanazawa; Shahar Z. Kovalsky; Ronen Basri; David W. Jacobs (Comput. Graph. Forum, 2016)

Accelerated quadratic proxy for geometric optimization. - Shahar Z. Kovalsky; Meirav Galun; Yaron Lipman (ACM Trans. Graph., 2016)

Point registration via efficient convex relaxation. - Haggai Maron; Nadav Dym; Itay Kezurer; Shahar Z. Kovalsky; Yaron Lipman (ACM Trans. Graph., 2016)

Spherical orbifold tutte embeddings. - Noam Aigerman; Shahar Z. Kovalsky; Yaron Lipman (ACM Trans. Graph., 2017)

Geometric optimization via composite majorization. - Anna Shtengel; Roi Poranne; Olga Sorkine-Hornung; Shahar Z. Kovalsky; Yaron Lipman (ACM Trans. Graph., 2017)

Gaussian Process Landmarking on Manifolds. - Tingran Gao; Shahar Z. Kovalsky; Doug M. Boyer; Ingrid Daubechies (CoRR, 2018)

Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. - Nadav Dym; Shahar Z. Kovalsky (ICCV, 2019)

Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. - David Dov; Shahar Z. Kovalsky; Jonathan Cohen 004; Danielle Elliott Range; Ricardo Henao; Lawrence Carin (MLHC, 2019)

A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. - David Dov; Shahar Ziv Kovalsky; Jonathan Cohen 004; Danielle Elliott Range; Ricardo Henao; Lawrence Carin (CoRR, 2019)

Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics. - Tingran Gao; Shahar Z. Kovalsky; Doug M. Boyer; Ingrid Daubechies (SIAM J. Math. Data Sci., 2019)

Gaussian Process Landmarking on Manifolds. - Tingran Gao; Shahar Z. Kovalsky; Ingrid Daubechies (SIAM J. Math. Data Sci., 2019)

Non-Convex Planar Harmonic Maps. - Shahar Z. Kovalsky; Noam Aigerman; Ingrid Daubechies; Michael Kazhdan; Jianfeng Lu 001; Stefan Steinerberger (CoRR, 2020)

Lifting simplices to find injectivity. - Xingyi Du; Noam Aigerman; Qingnan Zhou; Shahar Z. Kovalsky; Yajie Yan; Danny M. Kaufman; Tao Ju 001 (ACM Trans. Graph., 2020)

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. - David Dov; Serge Assaad; Shijing Si; Rui Wang 088; Hongteng Xu; Shahar Ziv Kovalsky; Jonathan Bell; Danielle Elliott Range; Jonathan Cohen 004; Ricardo Henao; Lawrence Carin (CHIL, 2021)

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. - David Dov; Shahar Z. Kovalsky; Serge Assaad; Jonathan Cohen 004; Danielle Elliott Range; Avani A. Pendse; Ricardo Henao; Lawrence Carin (Medical Image Anal., 2021)

Optimizing global injectivity for constrained parameterization. - Xingyi Du; Danny M. Kaufman; Qingnan Zhou; Shahar Z. Kovalsky; Yajie Yan; Noam Aigerman; Tao Ju 001 (ACM Trans. Graph., 2021)

Isometric Energies for Recovering Injectivity in Constrained Mapping. - Xingyi Du; Danny M. Kaufman; Qingnan Zhou; Shahar Z. Kovalsky; Yajie Yan; Noam Aigerman; Tao Ju 001 (SIGGRAPH Asia, 2022)

Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery. - Tal Amir; Shahar Z. Kovalsky; Nadav Dym (CoRR, 2022)

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. - Tingting Dan; Jiaqi Ding; Ziquan Wei; Shahar Z. Kovalsky; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (NeurIPS, 2023)

Neural Network Approximation of Refinable Functions. - Ingrid Daubechies; Ronald A. DeVore; Nadav Dym; Shira Faigenbaum-Golovin; Shahar Z. Kovalsky; Kung-Ching Lin; Josiah Park; Guergana Petrova; Barak Sober (IEEE Trans. Inf. Theory, 2023)

Differentiation Through Black-Box Quadratic Programming Solvers. - Connor W. Magoon; Fengyu Yang; Noam Aigerman; Shahar Z. Kovalsky (CoRR, 2024)