Jonathan Weill

23 papers A* 8A 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation.
AAAI
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein
2024 J jnl
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation.
CoRR
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein
2024 — conf
Improving LLM Attributions with Randomized Path-Integration.
EMNLP (Findings)
Oren Barkan, Yehonatan Elisha, Yonatan Toib, Jonathan Weill, Noam Koenigstein
2024 J jnl
In Search of Truth: An Interrogation Approach to Hallucination Detection.
CoRR
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
2024 — conf
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers.
ACL (1)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
2024 — conf
LLM Explainability via Attributive Masking Learning.
EMNLP (Findings)
Oren Barkan, Yonatan Toib, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein
2023 A conf
Deep Integrated Explanations.
CIKM
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
2023 J jnl
Deep Integrated Explanations.
CoRR
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
2023 A* conf
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond.
ICCV
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
2023 J jnl
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond.
CoRR
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
2023 J jnl
Representation Learning via Variational Bayesian Networks.
CoRR
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
2023 A* conf
Stochastic Integrated Explanations for Vision Models.
ICDM
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
2022 A* conf
Interpreting BERT-based Text Similarity via Activation and Saliency Maps.
WWW
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
2022 J jnl
Interpreting BERT-based Text Similarity via Activation and Saliency Maps.
CoRR
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
2021 A* conf
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.
ICDM
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
2021 J jnl
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.
CoRR
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
2021 A conf
Representation Learning via Variational Bayesian Networks.
CIKM
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
2020 A* conf
Cold Item Recommendations via Hierarchical Item2vec.
ICDM
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
2017 J jnl
A Mathematical Model for Adaptive Computed Tomography Sensing.
IEEE Trans. Computational Imaging
Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch
2016 J jnl
Gaussian Process Regression for Out-of-Sample Extension.
CoRR
Oren Barkan, Jonathan Weill, Amir Averbuch
2016 — conf
Gaussian process regression for out-of-sample extension.
MLSP
Oren Barkan, Jonathan Weill, Amir Averbuch
2013 A* conf
Adaptive Compressed Tomography Sensing.
CVPR
Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel
2013 A* conf
Fast High Dimensional Vector Multiplication Face Recognition.
ICCV
Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz