Haber, Eldad

15 publications

AAAI 2025 Learning Regularization for Graph Inverse Problems Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber

TMLR 2025 Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal, Moshe Eliasof, Carola-Bibiane Schönlieb, Ivan Kyrchei, Eldad Haber, Eran Treister

NeurIPS 2024 Advection Augmented Convolutional Neural Networks Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof

ICLRW 2024 Data-Driven Higher Order Differential Equations Inspired Graph Neural Networks Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb

AAAI 2024 Feature Transportation Improves Graph Neural Networks Moshe Eliasof, Eldad Haber, Eran Treister

AISTATS 2024 On the Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane B Schönlieb

ICML 2023 Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates with Provably Convergent Derivative Free Optimization Methods Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv

NeurIPSW 2022 PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof, Eldad Haber, Eran Treister

ICML 2022 pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof, Eldad Haber, Eran Treister

NeurIPS 2021 PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof, Eldad Haber, Eran Treister

ICLR 2019 AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

ICML 2019 IMEXnet a Forward Stable Deep Neural Network Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto

AAAI 2018 Learning Across Scales - Multiscale Methods for Convolution Neural Networks Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun

ICLR 2018 Multi-Level Residual Networks from Dynamical Systems View Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert

AAAI 2018 Reversible Architectures for Arbitrarily Deep Residual Neural Networks Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham