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ORCIDShahar Z. Kovalsky
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2020 – today
- 2023
[j17]Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park
, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory 69(1): 482-495 (2023)- [c8]Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. NeurIPS 2023 - [i11]Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. CoRR abs/2307.00222 (2023) - 2022
- [c7]Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju:
Isometric Energies for Recovering Injectivity in Constrained Mapping. SIGGRAPH Asia 2022: 36:1-36:9 - [i10]Tal Amir, Shahar Z. Kovalsky, Nadav Dym:
Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery. CoRR abs/2207.08592 (2022) - 2021
- [j16]David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin:
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Medical Image Anal. 67: 101814 (2021) - [j15]Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju:
Optimizing global injectivity for constrained parameterization. ACM Trans. Graph. 40(6): 260:1-260:18 (2021) - [c6]David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin:
Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL 2021: 14-24 - [i9]Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. CoRR abs/2107.13191 (2021) - 2020
- [j14]Xingyi Du, Noam Aigerman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Danny M. Kaufman, Tao Ju:
Lifting simplices to find injectivity. ACM Trans. Graph. 39(4): 120 (2020) - [i8]Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger:
Non-Convex Planar Harmonic Maps. CoRR abs/2001.01322 (2020)
2010 – 2019
- 2019
- [j13]Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. SIAM J. Math. Data Sci. 1(1): 208-236 (2019) - [j12]Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies:
Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics. SIAM J. Math. Data Sci. 1(1): 237-267 (2019) - [c5]Nadav Dym, Shahar Z. Kovalsky:
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. ICCV 2019: 1628-1636 - [c4]David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin:
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. MLHC 2019: 553-570 - [i7]David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin:
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. CoRR abs/1904.00839 (2019) - [i6]Nadav Dym, Shahar Ziv Kovalsky:
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. CoRR abs/1904.02204 (2019) - [i5]David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin:
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. CoRR abs/1904.12739 (2019) - 2018
- [i4]Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. CoRR abs/1802.03479 (2018) - 2017
- [j11]Anna Shtengel, Roi Poranne, Olga Sorkine-Hornung, Shahar Z. Kovalsky, Yaron Lipman:
Geometric optimization via composite majorization. ACM Trans. Graph. 36(4): 38:1-38:11 (2017) - [j10]Noam Aigerman, Shahar Z. Kovalsky, Yaron Lipman:
Spherical orbifold tutte embeddings. ACM Trans. Graph. 36(4): 90:1-90:13 (2017) - 2016
- [j9]Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs:
Learning 3D Deformation of Animals from 2D Images. Comput. Graph. Forum 35(2): 365-374 (2016) - [j8]Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman:
Point registration via efficient convex relaxation. ACM Trans. Graph. 35(4): 73:1-73:12 (2016) - [j7]Shahar Z. Kovalsky, Meirav Galun, Yaron Lipman:
Accelerated quadratic proxy for geometric optimization. ACM Trans. Graph. 35(4): 134:1-134:11 (2016) - 2015
- [j6]Itay Kezurer, Shahar Z. Kovalsky, Ronen Basri, Yaron Lipman:
Tight Relaxation of Quadratic Matching. Comput. Graph. Forum 34(5): 115-128 (2015) - [j5]Shahar Z. Kovalsky, Daniel Glasner, Ronen Basri:
A Global Approach for Solving Edge-Matching Puzzles. SIAM J. Imaging Sci. 8(2): 916-938 (2015) - [j4]Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman:
Large-scale bounded distortion mappings. ACM Trans. Graph. 34(6): 191:1-191:10 (2015) - [c3]Chengpu Yu, Michel Verhaegen, Shahar Z. Kovalsky, Ronen Basri:
Identification of structured LTI MIMO state-space models. CDC 2015: 2737-2742 - [i3]Angjoo Kanazawa, Shahar Z. Kovalsky, Ronen Basri, David W. Jacobs:
Learning 3D Articulation and Deformation using 2D Images. CoRR abs/1507.07646 (2015) - [i2]Chengpu Yu, Michel Verhaegen, Shahar Z. Kovalsky, Ronen Basri:
Identification of Structured LTI MIMO State-Space Models. CoRR abs/1509.08692 (2015) - 2014
- [j3]Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman:
Controlling singular values with semidefinite programming. ACM Trans. Graph. 33(4): 68:1-68:13 (2014) - [i1]Shahar Z. Kovalsky, Daniel Glasner, Ronen Basri:
A Global Approach for Solving Edge-Matching Puzzles. CoRR abs/1409.5957 (2014) - 2012
- [c2]Mica Arie-Nachimson, Shahar Z. Kovalsky, Ira Kemelmacher-Shlizerman, Amit Singer, Ronen Basri:
Global Motion Estimation from Point Matches. 3DIMPVT 2012: 81-88 - 2011
- [j2]Shahar Z. Kovalsky, Guy Cohen, Joseph M. Francos:
Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields. IEEE Trans. Inf. Theory 57(3): 1637-1644 (2011) - 2010
- [j1]Shahar Z. Kovalsky, Guy Cohen, Rami R. Hagege, Joseph M. Francos:
Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 940-946 (2010)
2000 – 2009
- 2007
- [c1]Shahar Z. Kovalsky, Rami R. Hagege, Joseph M. Francos:
Registration of joint geometric and radiometric image deformation. SIP 2007: 478-482
Coauthor Index
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