I am a senior research scientist at NVIDIA Research and a member of NVIDIA's TLV lab. I will be joining the Faculty of Electrical and Computer Engineering at the Technion as an Assistant Professor in 2023. My main field of interest is machine learning. In particular, I am working on applying deep learning to structured domains (e.g., sets, graphs, point clouds, and surfaces), usually by leveraging their symmetry structure. I completed my Ph.D. in 2019 at the Weizmann Institute of Science under the supervision of Prof. Yaron Lipman. My CV can be found here.
Email: hmaron (at) nvidia.com, Google scholar page, GitHub page
Beatrice Bevilacqua*, Fabrizio Frasca*, Derek Lim*, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron (*equal contribution)
International Conference on Learning Representations (ICLR) 2022
Spotlight presentation (5% acceptance rate)
Abstract Paper GitHub Blog post Talk
Rinon Gal, Or Patashnik , Haggai Maron , Gal Chechik , Daniel Cohen-Or
ACM SIGGRAPH 2022
Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh
International Conference on Machine Learning (ICML) 2020
Haggai Maron, Heli Ben-Hamu, Yaron Lipman
NeurIPS 2019 Graph Representation Learning Workshop
Haggai Maron*, Heli Ben-Hamu*, Hadar Serviansky*, Yaron Lipman (*equal contribution)
33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019)
Haggai Maron and Yaron Lipman
32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018)
spotlight presentation (3.5% acceptance rate)
Abstract Arxiv Poster Short Video GitHub
Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Kovalsky and Yaron Lipman
ACM SIGGRAPH 2016
Anat Levin, Haggai Maron and Michal Yarom
International Conference on Computational Photography (ICCP) 2016