Haggai Maron

19 papers at tracked venues · 18 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ICML ×6 NeurIPS ×6 ICLR ×5 AAAI ×1 ECML-PKDD ×1

Frequent coauthors

Fabrizio Frasca

×7

Guy Bar-Shalom

×6

Derek Lim

×4

Gal Chechik

×4

Yam Eitan

×4

Michael M. Bronstein

×4

Yoav Gelberg

×3

Aviv Navon

×3

Aviv Shamsian

×3

Moshe Eliasof

×3

Beatrice Bevilacqua

×3

Yftah Ziser

×2

Papers

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
AAAI 2026 ·
Guy Bar-Shalom
,
Fabrizio Frasca
,
Derek Lim
,
Yoav Gelberg
,
Yftah Ziser
,
Ran El-Yaniv
,
Gal Chechik
, Haggai Maron
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
ICML 2025 ·
Joshua Southern
,
Yam Eitan
,
Guy Bar-Shalom
,
Michael M. Bronstein
, Haggai Maron,
Fabrizio Frasca
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
NeurIPS 2025 ·
Guy Bar-Shalom
,
Fabrizio Frasca
,
Yaniv Galron
,
Yftah Ziser
, Haggai Maron
GradMetaNet: An Equivariant Architecture for Learning on Gradients
NeurIPS 2025 ·
Yoav Gelberg
,
Yam Eitan
,
Aviv Navon
,
Aviv Shamsian
,
Theo (Moe) Putterman
,
Michael M. Bronstein
, Haggai Maron
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
ICLR 2025 ·
Jingchu Gai
,
Yiheng Du
,
Bohang Zhang
, Haggai Maron,
Liwei Wang
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
ICLR 2025 ·
Dvir Samuel
,
Barak Meiri
, Haggai Maron,
Yoad Tewel
,
Nir Darshan
,
Shai Avidan
,
Gal Chechik
,
Rami Ben-Ari
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
ICLR 2025 ·
Yam Eitan
,
Yoav Gelberg
,
Guy Bar-Shalom
,
Fabrizio Frasca
,
Michael M. Bronstein
, Haggai Maron
Understanding and Improving Laplacian Positional Encodings for Temporal GNNs
ECML-PKDD 2025 ·
Yaniv Galron
,
Fabrizio Frasca
, Haggai Maron,
Eran Treister
,
Moshe Eliasof
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
NeurIPS 2024 ·
Guy Bar-Shalom
,
Yam Eitan
,
Fabrizio Frasca
, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies
ICLR 2024 ·
Beatrice Bevilacqua
,
Moshe Eliasof
,
Eli A. Meirom
,
Bruno Ribeiro
, Haggai Maron
Equivariant Deep Weight Space Alignment
ICML 2024 ·
Aviv Navon
,
Aviv Shamsian
,
Ethan Fetaya
,
Gal Chechik
,
Nadav Dym
, Haggai Maron
Fast Encoder-Based 3D from Casual Videos via Point Track Processing
NeurIPS 2024 ·
Yoni Kasten
,
Wuyue Lu
, Haggai Maron
GRANOLA: Adaptive Normalization for Graph Neural Networks
NeurIPS 2024 ·
Moshe Eliasof
,
Beatrice Bevilacqua
,
Carola-Bibiane Schönlieb
, Haggai Maron
Graph Metanetworks for Processing Diverse Neural Architectures
ICLR 2024 ·
Derek Lim
, Haggai Maron,
Marc T. Law
,
Jonathan Lorraine
,
James Lucas
Improved Generalization of Weight Space Networks via Augmentations
ICML 2024 ·
Aviv Shamsian
,
Aviv Navon
,
David W. Zhang
,
Yan Zhang
,
Ethan Fetaya
,
Gal Chechik
, Haggai Maron
On the Expressive Power of Spectral Invariant Graph Neural Networks
ICML 2024 ·
Bohang Zhang
,
Lingxiao Zhao
, Haggai Maron
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024 ·
Christopher Morris
,
Fabrizio Frasca
,
Nadav Dym
, Haggai Maron,
Ismail Ilkan Ceylan
,
Ron Levie
,
Derek Lim
,
Michael M. Bronstein
,
Martin Grohe
,
Stefanie Jegelka
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
ICML 2024 ·
Guy Bar-Shalom
,
Beatrice Bevilacqua
, Haggai Maron
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
NeurIPS 2024 ·
Derek Lim
,
Theo (Moe) Putterman
,
Robin Walters
, Haggai Maron,
Stefanie Jegelka