Yoav Gelberg

11 papers A* 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions.
AAAI
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2025 J jnl
Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings.
CoRR
Yoav Gelberg, Koshi Eguchi, Takuya Akiba, Edoardo Cetin
2025 J jnl
GradMetaNet: An Equivariant Architecture for Learning on Gradients.
CoRR
Yoav Gelberg, Yam Eitan, Aviv Navon, Aviv Shamsian, Theo Putterman, Michael M. Bronstein, Haggai Maron
2025 J jnl
Iterative Deployment Improves Planning Skills in LLMs.
CoRR
Augusto B. Corrêa, Yoav Gelberg, Luckeciano C. Melo, Ilia Shumailov, André Grahl Pereira, Yarin Gal
2025 J jnl
Learning on LLM Output Signatures for gray-box LLM Behavior Analysis.
CoRR
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2025 J jnl
On The Expressive Power of GNN Derivatives.
CoRR
Yam Eitan, Moshe Eliasof, Yoav Gelberg, Fabrizio Frasca, Guy Bar-Shalom, Haggai Maron
2025 A* conf
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity.
ICLR
Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron
2024 J jnl
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models.
CoRR
Moe Putterman, Derek Lim, Yoav Gelberg, Stefanie Jegelka, Haggai Maron
2024 J jnl
Topological Blind Spots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity.
CoRR
Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron
2024 — conf
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks.
GRaM
Yoav Gelberg, Tycho F. A. van der Ouderaa, Mark van der Wilk, Yarin Gal
2024 J jnl
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks.
CoRR
Yoav Gelberg, Tycho F. A. van der Ouderaa, Mark van der Wilk, Yarin Gal