Heli Ben-Hamu

PhD Candidate

I am a PhD student in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science under the supervision of Prof. Yaron Lipman. My main research interests are machine and deep learning and their applications to irregular data, focusing mainly on graph neural networks.    




Matching Normalizing Flows and Probability Paths on Manifolds

Heli Ben-Hamu*, Samuel Cohen*, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman (*equal contribution)

International Conference on Machine Learning (ICML) 2022

Frame Averaging for Invariant and Equivariant Network Design

Omri Puny*, Matan Atzmon*, Heli Ben-Hamu*, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman (*equal contribution)

International Conference on Learning Representations (ICLR) 2022, Oral

Global Attention Improves Graph Networks Generalization

Omri Puny, Heli Ben-Hamu, Yaron Lipman

Graph Representation Learning and Beyond Workshop (ICML) 2020

Provably Powerful Graph Networks

Haggai Maron*, Heli Ben-Hamu*, Hadar Serviansky*, Yaron Lipman (*equal contribution)

33rd Annual Conference on Neural Information Processing Systems (NeurIPS) 2019

Surface Networks via General Covers

Niv Haim*, Nimrod Segol*, Heli Ben-Hamu, Haggai Maron, Yaron Lipman (*equal contribution)

International Conference on Computer Vision (ICCV) 2019

Invariant and Equivariant Graph Networks

Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman

International Conference on Learning Representations (ICLR) 2019

Multi-Chart Generative Surface Modeling

Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri and Yaron Lipman


Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri

Heli Ben-Hamu, Jonathan Mushkin, Tammy Riklin Raviv, Nir Sochen

25th IEEE International Conference on Image Processing (ICIP) 2018