Jonathan Weill

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Efficient Discovery

Item Recommendation

Salient Region Detection

Visual Saliency Detection

Top Venues

Publications

Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
In Search of Truth: An Interrogation Approach to Hallucination Detection. CoRR (2024)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. ACL (1) (2024)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Deep Integrated Explanations. CIKM (2023)
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)
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 (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Deep Integrated Explanations. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Stochastic Integrated Explanations for Vision Models. ICDM (2023)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CoRR (2023)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW (2022)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. CoRR (2021)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CIKM (2021)
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)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Cold Item Recommendations via Hierarchical Item2vec. ICDM (2020)
Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch
A Mathematical Model for Adaptive Computed Tomography Sensing. IEEE Trans. Computational Imaging 3 (4) (2017)
Oren Barkan, Jonathan Weill, Amir Averbuch
Gaussian process regression for out-of-sample extension. MLSP (2016)
Oren Barkan, Jonathan Weill, Amir Averbuch
Gaussian Process Regression for Out-of-Sample Extension. CoRR (2016)
Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel
Adaptive Compressed Tomography Sensing. CVPR (2013)
Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz
Fast High Dimensional Vector Multiplication Face Recognition. ICCV (2013)