| 2026 | AAAI | Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields. | Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber |
| 2025 | AAAI | Learning Regularization for Graph Inverse Problems. | Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schnlieb, Eldad Haber |
| 2025 | ECAI | Quadratic Binary Optimization with Graph Neural Networks. | Moshe Eliasof, Eldad Haber |
| 2024 | AAAI | Feature Transportation Improves Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2024 | AISTATS | On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schnlieb |
| 2024 | ECAI | Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2023 | ICML | Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods. | Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv |
| 2022 | ICML | pathGCN: Learning General Graph Spatial Operators from Paths. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2021 | DATE | Automatic Scalable System for the Coverage-Directed Generation (CDG) Problem. | Raviv Gal, Eldad Haber, Wesam Ibraheem, Brian Irwin, Ziv Nevo, Avi Ziv |
| 2019 | ICLR | AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. | Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi |
| 2019 | ICML | IMEXnet A Forward Stable Deep Neural Network. | Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto |
| 2018 | AAAI | Reversible Architectures for Arbitrarily Deep Residual Neural Networks. | Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham |
| 2018 | AAAI | Learning Across Scales - Multiscale Methods for Convolution Neural Networks. | Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun |
| 2018 | ICLR | Multi-level Residual Networks from Dynamical Systems View. | Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert |
| 2018 | MICCAI | GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport. | Rena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum |
| 2015 | SDM | Data mining for real mining: A robust algorithm for prospectivity mapping with uncertainties. | Justin Granek, Eldad Haber |
| 2010 | ICIP | Fire and smoke detection in video with optimal mass transport based optical flow and neural networks. | Ivan Kolesov, Peter Karasev, Allen R. Tannenbaum, Eldad Haber |
| 2006 | MICCAI | Intensity Gradient Based Registration and Fusion of Multi-modal Images. | Eldad Haber, Jan Modersitzki |
| 2004 | MICCAI | Volume Preserving Image Registration. | Eldad Haber, Jan Modersitzki |
| 2003 | HPSC | Computational Methods for Large Distributed Parameter Estimation Problems in 3D. | Uri M. Ascher, Eldad Haber |