Haggai Maron  

 



  ![](/sites/default/files/person/haggai.png)

  

 Haggai Maron joined Nvidia Research in October 2019 as a Research Scientist. His main fields of interest are machine learning and shape analysis. In particular, he studies how to apply deep learning to irregular domains (e.g., sets, graphs, point clouds, and surfaces) by leveraging their symmetry structure.

Haggai completed his MSc and Ph.D. at the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science, and his BSc in Mathematics and Computer Science from the Hebrew University of Jerusalem.

Personal website: <https://haggaim.github.io/>



   Research Area(s)

[Computer Graphics](/research-area/computer-graphics)

[Computer Vision](/research-area/computer-vision)

[Generative AI](/research-area/generative-ai)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

<https://scholar.google.co.il/citations?user=4v8uJrIAAAAJ>

 

  

 

 

 



 ### Publications

 

### 2025 

[Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models, ](/publication/2025-04_lightning-fast-image-inversion-and-editing-text-image-diffusion-models)

Dvir Samuel, Barak Meiri, [Haggai Maron](/person/haggai-maron), [Yoad Tewel](/person/yoad-tewel), Nir Darshan, Shai Avidan, [Gal Chechik](/person/gal-chechik), Rami Ben-Ari



[ICLR 2025](https://iclr.cc/virtual/2025/poster/28072)









[Directed Graph Generation with Heat Kernels](/index.php/publication/2025-01_directed-graph-generation-heat-kernels)

Marc T. Law, [Karsten Kreis](/index.php/person/karsten-kreis), [Haggai Maron](/index.php/person/haggai-maron)



[Transactions on Machine Learning Research (TMLR) 2025](https://openreview.net/forum?id=60Gi1w6hte)









### 2024 

[Fast Encoder-Based 3D from Casual Videos via Point Track Processing](/publication/2024-12_fast-encoder-based-3d-casual-videos-point-track-processing)

[Yoni Kasten](/person/yoni-kasten), Wuyue Lu, [Haggai Maron](/person/haggai-maron)



[NeurIPS 2024](https://arxiv.org/pdf/2404.07097)









### 2023 

[Graph Metanetworks for Processing Diverse Neural Architectures](/publication/2023-12_graph-metanetworks-processing-diverse-neural-architectures)

Derek Lim, [Haggai Maron](/person/haggai-maron), Marc T. Law, Jonathan Lorraine, James Lucas



[ICLR](https://arxiv.org/pdf/2312.04501.pdf)









[Norm-guided latent space exploration for text-to-image generation](/publication/2023-10_norm-guided-latent-space-exploration-text-image-generation)

Dvir Samuel, Rami Ben-Ari, Nir Darshan, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik)



[NeurIPS 2023](https://nips.cc/virtual/2023/poster/70922)









[Equivariant Architectures for Learning in Deep Weight Spaces](/publication/2023-03_equivariant-architectures-learning-deep-weight-spaces)

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron)



[ICML 2023](https://openreview.net/pdf?id=SCU1xlr9Y4)









### 2022 

[Optimizing tensor network contraction using reinforcement learning](/publication/2022-06_optimizing-tensor-network-contraction-using-reinforcement-learning)

[Eli Meirom](/person/eli-meirom), [Haggai Maron](/person/haggai-maron), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[International Conference on Machine Learning, PMLR 162:15278-15292, 2022](https://proceedings.mlr.press/v162/meirom22a.html)









[StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators](/publication/2022-05_stylegan-nada-clip-guided-domain-adaptation-image-generators)

Rinon Gal, Or Patashnik, [Haggai Maron](/person/haggai-maron), Amir Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or



[SIGGRAPH 2022](https://s2022.siggraph.org/)









### 2021 

[From local structures to size generalization in graph neural networks](/publication/2021-06_local-structures-size-generalization-graph-neural-networks)

Gilad Yehudai, Ethan Fetaya, [Eli Meirom](/person/eli-meirom), [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron)



[ICML 2021](http://proceedings.mlr.press/v139/yehudai21a/yehudai21a.pdf)









[Controlling graph dynamics with reinforcement learning and graph neural networks](/publication/2021-06_controlling-graph-dynamics-reinforcement-learning-and-graph-neural-networks-0)

[Eli Meirom](/person/eli-meirom), [Haggai Maron](/person/haggai-maron), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik)



[ICML 2021](http://proceedings.mlr.press/v139/meirom21a/meirom21a.pdf)









[Auxiliary Learning by Implicit Differentiation](/index.php/publication/2021-04_auxiliary-learning-implicit-differentiation)

Aviv Navon, Idan Achituve, [Haggai Maron](/index.php/person/haggai-maron), [Gal Chechik](/index.php/person/gal-chechik), Ethan Fetaya



[ICLR 2021](https://arxiv.org/abs/2007.02693)









[On the Universality of Rotation Equivariant Point Cloud Networks](/index.php/publication/2021-04_universality-rotation-equivariant-point-cloud-networks)

Nadav Dym, [Haggai Maron](/index.php/person/haggai-maron)



[ICLR 2021](https://arxiv.org/abs/2010.02449)









[Federated Learning with Heterogeneous Architectures using Graph HyperNetworks](/publication/2021-01_federated-learning-heterogeneous-architectures-using-graph-hypernetworks)

Or Litany, [Haggai Maron](/person/haggai-maron), David Acuna, [Jan Kautz](/person/jan-kautz), [Gal Chechik](/person/gal-chechik), Sanja Fidler













[Self-Supervised Learning for Domain Adaptation on Point-Clouds](/publication/2021-01_self-supervised-learning-domain-adaptation-point-clouds)

Idan Achituve, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik)



[Winter Conference on Applications of Computer Vision (WACV), 2021](https://arxiv.org/pdf/2003.12641.pdf)









### 2020 

[Set2Graph: Learning Graphs From Sets](/publication/2020-12_set2graph-learning-graphs-sets)

Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, [Haggai Maron](/person/haggai-maron), Yaron Lipman



[Conference on Neural Information Processing Systems (NeurIPS 2020)](https://arxiv.org/pdf/2002.08772.pdf)









[On Learning Sets of Symmetric Elements](/publication/2020-07_learning-sets-symmetric-elements)

[Haggai Maron](/person/haggai-maron), Or Litany, [Gal Chechik](/person/gal-chechik), Ethan Fetaya



[International Conference on Machine Learning (ICML) 2020](https://arxiv.org/pdf/2002.08599)



Outstanding Paper, ICML 2020





[Learning Algebraic Multigrid Using Graph Neural Networks](/publication/2020-07_learning-algebraic-multigrid-using-graph-neural-networks)

Ilay Luz, Meirav Galun, [Haggai Maron](/person/haggai-maron), Ronen Basri, Irad Yavneh



[International Conference on Machine Learning (ICML) 2020](https://arxiv.org/pdf/2003.05744.pdf)









[Graph Positional Encoding via Random Feature Propagation](/publication/_graph-positional-encoding-random-feature-propagation)

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron)



[ICML 2023](https://proceedings.mlr.press/v202/eliasof23a/eliasof23a.pdf)