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Journal Articles
- 2017
[j1]Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch:
A Mathematical Model for Adaptive Computed Tomography Sensing. IEEE Trans. Computational Imaging 3(4): 551-565 (2017)
Conference and Workshop Papers
- 2024
- [c13]Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein:
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. ACL (1) 2024: 9333-9347 - [c12]Oren Barkan, Yehonatan Elisha, Yonatan Toib, Jonathan Weill, Noam Koenigstein:
Improving LLM Attributions with Randomized Path-Integration. EMNLP (Findings) 2024: 9430-9446 - [c11]Oren Barkan, Yonatan Toib, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein:
LLM Explainability via Attributive Masking Learning. EMNLP (Findings) 2024: 9522-9537 - 2023
- [c10]Oren Barkan
, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. CIKM 2023: 57-67 - [c9]Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein:
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. ICCV 2023: 19950-19961 - [c8]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Stochastic Integrated Explanations for Vision Models. ICDM 2023: 938-943 - 2022
- [c7]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW 2022: 3259-3268 - 2021
- [c6]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Representation Learning via Variational Bayesian Networks. CIKM 2021: 78-88 - [c5]Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. ICDM 2021: 994-999 - 2020
- [c4]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Cold Item Recommendations via Hierarchical Item2vec. ICDM 2020: 912-917 - 2016
- [c3]Oren Barkan, Jonathan Weill, Amir Averbuch:
Gaussian process regression for out-of-sample extension. MLSP 2016: 1-6 - 2013
- [c2]Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel:
Adaptive Compressed Tomography Sensing. CVPR 2013: 2195-2202 - [c1]Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz:
Fast High Dimensional Vector Multiplication Face Recognition. ICCV 2013: 1960-1967
Informal and Other Publications
- 2024
- [i7]Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein:
In Search of Truth: An Interrogation Approach to Hallucination Detection. CoRR abs/2403.02889 (2024) - 2023
- [i6]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Representation Learning via Variational Bayesian Networks. CoRR abs/2306.16326 (2023) - [i5]Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein:
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. CoRR abs/2308.14753 (2023) - [i4]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. CoRR abs/2310.15368 (2023) - 2022
- [i3]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR abs/2208.06612 (2022) - 2021
- [i2]Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. CoRR abs/2112.07615 (2021) - 2016
- [i1]Oren Barkan, Jonathan Weill, Amir Averbuch:
Gaussian Process Regression for Out-of-Sample Extension. CoRR abs/1603.02194 (2016)
Coauthor Index
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