Eldad Haber

11 papers · 2018–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+5 more ↓

🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver

🏆 Grand Slam 🚀 Conference Pioneer 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (51)

Venues

AAAI (3) ICML (3) ICLR (2) NeurIPS (2) AISTATS (1)

Top co-authors

Moshe Eliasof (7) Eran Treister (5) Md Shahriar Rahim Siddiqui (2) Bo Chang (2) Avi Ziv (1) Ed H. Chi (1) Lars Ruthotto (1) Carola-Bibiane Schönlieb (1) Niloufar Zakariaei (1) Siddharth Rout (1)

Research topics

Deep Learning (11) Architectures (11) Machine Learning (8) Optimization & Theory (5) Computer Vision (3) Core Methods (3) Mathematics & Optimization (2) Optimization (2) Techniques (2) Analysis (1) Application Areas (1) Generation (1) Learning Types (1) Models (1) Processing (1)

Keywords

graph neural network (6) convolutional neural network (2) representation learning (2) node classification (2) dynamical system (2) black-box optimization (1) image generation (1) image classification (1) flow matching (1) model architecture (1) message passing (1) random walk (1) likelihood maximization (1) derivative-free optimization (1) semantic segmentation (1) inverse problem (1) video prediction (1) convergence guarantee (1) image processing (1) temporal dynamics (1)

Papers

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields AAAI 2026 Learning Regularization for Graph Inverse Problems AAAI 2025 Advection Augmented Convolutional Neural Networks NeurIPS 2024 Feature Transportation Improves Graph Neural Networks AAAI 2024 On The Temporal Domain of Differential Equation Inspired Graph Neural Networks AISTATS 2024 Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023 pathGCN: Learning General Graph Spatial Operators from Paths ICML 2022 PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations NeurIPS 2021 AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks ICLR 2019 IMEXnet A Forward Stable Deep Neural Network ICML 2019 Multi-level Residual Networks from Dynamical Systems View ICLR 2018