Jonathan Weill

According to our database, Jonathan Weill authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

In Search of Truth: An Interrogation Approach to Hallucination Detection.

Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein

CoRR, 2024

LLM Explainability via Attributive Masking Learning.

Oren Barkan, Yonatan Toib, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving LLM Attributions with Randomized Path-Integration.

Oren Barkan, Yehonatan Elisha, Yonatan Toib, Jonathan Weill, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers.

Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Stochastic Integrated Explanations for Vision Models.

Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein

Proceedings of the IEEE International Conference on Data Mining, 2023

Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond.

Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Integrated Explanations.

Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Interpreting BERT-based Text Similarity via Activation and Saliency Maps.

Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.

Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein

Proceedings of the IEEE International Conference on Data Mining, 2021

Representation Learning via Variational Bayesian Networks.

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Cold Item Recommendations via Hierarchical Item2vec.

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2017

A Mathematical Model for Adaptive Computed Tomography Sensing.

Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch

IEEE Trans. Computational Imaging, 2017

2016

Gaussian process regression for out-of-sample extension.

Oren Barkan, Jonathan Weill, Amir Averbuch

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2013

Fast High Dimensional Vector Multiplication Face Recognition.

Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz

Proceedings of the IEEE International Conference on Computer Vision, 2013

Adaptive Compressed Tomography Sensing.

Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013