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Heli Ben-Hamu

PhD Student


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. I research machine and deep learning and their applications to irregular domains such as graphs and manifolds, a field of study called Geometric Deep Learning. Lately, I am particularly interested in generative modeling applied to those challenging domains.    

 

 

Publications



D-Flow: Differentiating through Flows for Controlled Generation

Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman

International Conference on Machine Learning (ICML) 2024

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Aram-Alexandre Pooladian*, Heli Ben-Hamu*, Carles Domingo-Enrich*, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen

International Conference on Machine Learning (ICML) 2023

Flow Matching for Generative Modeling

Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le

International Conference on Learning Representations (ICLR) 2023, Spotlight

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

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

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

Conference on Neural Information Processing Systems (NeurIPS) 2019

Surface Networks via General Covers

Niv Haim*, Nimrod Segol*, Heli Ben-Hamu, Haggai Maron, Yaron Lipman

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, Yaron Lipman

ACM SIGGRAPH Asia 2018

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

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

IEEE International Conference on Image Processing (ICIP) 2018

* = equal contribution