Navon, Aviv

13 publications

NeurIPS 2025 GradMetaNet: An Equivariant Architecture for Learning on Gradients Yoav Gelberg, Yam Eitan, Aviv Navon, Aviv Shamsian, Theo Putterman, Michael M. Bronstein, Haggai Maron

ICLRW 2025 GradMetaNet: An Equivariant Architecture for Learning on Gradients Yoav Gelberg, Yam Eitan, Aviv Navon, Aviv Shamsian, Theo Putterman, Haggai Maron

ICML 2024 Equivariant Deep Weight Space Alignment Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron

ICML 2024 Improved Generalization of Weight Space Networks via Augmentations Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron

ICML 2023 Auxiliary Learning as an Asymmetric Bargaining Game Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya

NeurIPSW 2023 Data Augmentations in Deep Weight Spaces Aviv Shamsian, David Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan Burghouts, Efstratios Gavves, Cees Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

ICML 2023 Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron

ICML 2022 Multi-Task Learning as a Bargaining Game Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya

ICLR 2021 Auxiliary Learning by Implicit Differentiation Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya

ICML 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya

ICLR 2021 Learning the Pareto Front with Hypernetworks Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik

ICML 2021 Personalized Federated Learning Using Hypernetworks Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik

NeurIPS 2021 Personalized Federated Learning with Gaussian Processes Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya