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Heli Ben-Hamu
Heli Ben-Hamu
Ph.D. student, Weizmann Institute of Science
Verified email at weizmann.ac.il - Homepage
Title
Cited by
Cited by
Year
Provably Powerful Graph Networks
H Maron, H Ben-Hamu, H Serviansky, Y Lipman
Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019
6172019
Invariant and Equivariant Graph Networks
H Maron, H Ben-Hamu, N Shamir, Y Lipman
International Conference on Learning Representations (ICLR) 2019, 2018
5042018
Flow matching for generative modeling
Y Lipman, RTQ Chen, H Ben-Hamu, M Nickel, M Le
International Conference on Learning Representations (ICLR) 2023, 2022
4442022
Frame Averaging for Invariant and Equivariant Network Design
O Puny, M Atzmon, H Ben-Hamu, EJ Smith, I Misra, A Grover, Y Lipman
International Conference on Learning Representations (ICLR) 2022, 2021
1062021
Multi-chart Generative Surface Modeling
H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman
ACM Transactions on Graphics (TOG): Volume 37 Issue 6, November 2018, 2018
852018
Multisample flow matching: Straightening flows with minibatch couplings
AA Pooladian, H Ben-Hamu, C Domingo-Enrich, B Amos, Y Lipman, ...
International Conference on Machine Learning (ICML) 2023, 2023
642023
Surface networks via general covers
N Haim, N Segol, H Ben-Hamu, H Maron, Y Lipman
Proceedings of the IEEE/CVF international conference on computer vision, 632-641, 2019
562019
Global Attention Improves Graph Networks Generalization
O Puny, H Ben-Hamu, Y Lipman
ICML 2020 Graph Representation Learning and Beyond Workshop, 2020
44*2020
Matching normalizing flows and probability paths on manifolds
H Ben-Hamu, S Cohen, J Bose, B Amos, A Grover, M Nickel, RTQ Chen, ...
International Conference on Machine Learning (ICML) 2022, 2022
312022
Open problems: Approximation power of invariant graph networks
H Maron, H Ben-Hamu, Y Lipman
NeurIPS 2019 Graph Representation Learning Workshop, 2019
52019
D-Flow: Differentiating through Flows for Controlled Generation
H Ben-Hamu, O Puny, I Gat, B Karrer, U Singer, Y Lipman
International Conference on Machine Learning (ICML) 2024, 2024
42024
Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri
H Ben-Hamu, J Mushkin, TR Raviv, N Sochen
2018 25th IEEE International Conference on Image Processing (ICIP), 734-738, 2018
12018
Provably Powerful Graph Networks: Supplementary Material
H Maron, H Ben-Hamu, H Serviansky, Y Lipman
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Articles 1–13