Shahar Z. Kovalsky

According to our database, Shahar Z. Kovalsky authored at least 31 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Differentiation Through Black-Box Quadratic Programming Solvers.

Connor W. Magoon, Fengyu Yang, Noam Aigerman, Shahar Z. Kovalsky

CoRR, 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery.

Tal Amir, Shahar Z. Kovalsky, Nadav Dym

CoRR, 2022

Isometric Energies for Recovering Injectivity in Constrained Mapping.

Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

2021

Optimizing global injectivity for constrained parameterization.

Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju

ACM Trans. Graph., 2021

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images.

David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin

Medical Image Anal., 2021

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, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Lifting simplices to find injectivity.

Xingyi Du, Noam Aigerman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Danny M. Kaufman, Tao Ju

ACM Trans. Graph., 2020

Non-Convex Planar Harmonic Maps.

Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger

CoRR, 2020

2019

Gaussian Process Landmarking on Manifolds.

Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies

SIAM J. Math. Data Sci., 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

A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images.

David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin

CoRR, 2019

Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images.

David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin

Proceedings of the Machine Learning for Healthcare Conference, 2019

Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration.

Nadav Dym, Shahar Z. Kovalsky

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Gaussian Process Landmarking on Manifolds.

Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies

CoRR, 2018

2017

Geometric optimization via composite majorization.

Anna Shtengel, Roi Poranne, Olga Sorkine-Hornung, Shahar Z. Kovalsky, Yaron Lipman

ACM Trans. Graph., 2017

Spherical orbifold tutte embeddings.

Noam Aigerman, Shahar Z. Kovalsky, Yaron Lipman

ACM Trans. Graph., 2017

2016

Point registration via efficient convex relaxation.

Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman

ACM Trans. Graph., 2016

Accelerated quadratic proxy for geometric optimization.

Shahar Z. Kovalsky, Meirav Galun, Yaron Lipman

ACM Trans. Graph., 2016

Learning 3D Deformation of Animals from 2D Images.

Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs

Comput. Graph. Forum, 2016

2015

Large-scale bounded distortion mappings.

Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman

ACM Trans. Graph., 2015

A Global Approach for Solving Edge-Matching Puzzles.

Shahar Z. Kovalsky, Daniel Glasner, Ronen Basri

SIAM J. Imaging Sci., 2015

Learning 3D Articulation and Deformation using 2D Images.

Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs

CoRR, 2015

Tight Relaxation of Quadratic Matching.

Itay Kezurer, Shahar Z. Kovalsky, Ronen Basri, Yaron Lipman

Comput. Graph. Forum, 2015

Identification of structured LTI MIMO state-space models.

Chengpu Yu, Michel Verhaegen, Shahar Z. Kovalsky, Ronen Basri

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Controlling singular values with semidefinite programming.

Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman

ACM Trans. Graph., 2014

2012

Global Motion Estimation from Point Matches.

Mica Arie-Nachimson, Shahar Z. Kovalsky, Ira Kemelmacher-Shlizerman, Amit Singer, Ronen Basri

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011

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

2010

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

2007

Registration of joint geometric and radiometric image deformation.

Shahar Z. Kovalsky, Rami R. Hagege, Joseph M. Francos

Proceedings of the Signal and Image Processing (SIP 2007), 2007