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Books and Theses
- 2018
[b1]Oren Barkan:
Topics in Representation Learning. Tel Aviv University, Israel, 2018
Journal Articles
- 2025
- [j5]Ori Katz
, Oren Barkan, Noam Koenigstein:
Personalized Cadence Awareness for Next Basket Recommendation. Trans. Recomm. Syst. 3(1): 6:1-6:23 (2025) - 2024
- [j4]Oren Barkan, Tom Shaked, Yonatan Fuchs, Noam Koenigstein:
Modeling users' heterogeneous taste with diversified attentive user profiles. User Model. User Adapt. Interact. 34(2): 375-405 (2024) - 2023
- [j3]Keren Gaiger, Oren Barkan, Shir Tsipory-Samuel, Noam Koenigstein:
Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering. IEEE Access 11: 34746-34763 (2023) - 2019
- [j2]Oren Barkan, David Tsiris, Ori Katz, Noam Koenigstein:
InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2385-2396 (2019) - 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
- [c51]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 - [c50]Oren Barkan, Yonatan Toib, Yehonatan Elisha, Noam Koenigstein:
A Learning-based Approach for Explaining Language Models. CIKM 2024: 98-108 - [c49]Yehonatan Elisha, Oren Barkan, Noam Koenigstein:
Probabilistic Path Integration with Mixture of Baseline Distributions. CIKM 2024: 570-580 - [c48]Oren Barkan, Yehonatan Elisha, Yonatan Toib, Jonathan Weill, Noam Koenigstein:
Improving LLM Attributions with Randomized Path-Integration. EMNLP (Findings) 2024: 9430-9446 - [c47]Oren Barkan, Yonatan Toib, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein:
LLM Explainability via Attributive Masking Learning. EMNLP (Findings) 2024: 9522-9537 - [c46]Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, Noam Koenigstein:
Unsupervised Topic-Conditional Extractive Summarization. ICASSP 2024: 11286-11290 - [c45]Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein:
SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. ICASSP 2024: 11361-11365 - [c44]Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein:
A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. WWW 2024: 3723-3733 - 2023
- [c43]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. CIKM 2023: 57-67 - [c42]Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein:
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. CIKM 2023: 5246-5247 - [c41]Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein:
Visual Explanations via Iterated Integrated Attributions. ICCV 2023: 2073-2084 - [c40]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 - [c39]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Stochastic Integrated Explanations for Vision Models. ICDM 2023: 938-943 - [c38]Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein:
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM 2023: 944-949 - [c37]Oren Barkan, Shlomi Shvartzman, Noy Uzrad, Moshe Laufer, Almog Elharar, Noam Koenigstein:
Inversynth II: Sound Matching via Self-Supervised Synthesizer-Proxy and Inference-Time Finetuning. ISMIR 2023: 642-648 - 2022
- [c36]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein:
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP 2022: 1-5 - [c35]Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari:
Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. RecSys 2022: 316-326 - [c34]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
- [c33]Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein:
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. ACL/IJCNLP (Findings) 2021: 3088-3098 - [c32]Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein:
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CIKM 2021: 68-77 - [c31]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Representation Learning via Variational Bayesian Networks. CIKM 2021: 78-88 - [c30]Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein:
Anchor-based Collaborative Filtering. CIKM 2021: 2877-2881 - [c29]Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein:
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CIKM 2021: 2882-2887 - [c28]Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Yoni Weill, Noam Koenigstein:
Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization. ICASSP 2021: 3260-3264 - [c27]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
- [c26]Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI 2020: 3235-3242 - [c25]Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein:
Bayesian Hierarchical Words Representation Learning. ACL 2020: 3871-3877 - [c24]Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein:
Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) 2020: 1704-1714 - [c23]Oren Barkan, Avi Caciularu, Ido Dagan:
Within-Between Lexical Relation Classification. EMNLP (1) 2020: 3521-3527 - [c22]Oren Barkan, Ori Katz, Noam Koenigstein:
Neural Attentive Multiview Machines. ICASSP 2020: 3357-3361 - [c21]Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein:
Attentive Item2vec: Neural Attentive User Representations. ICASSP 2020: 3377-3381 - [c20]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Cold Item Recommendations via Hierarchical Item2vec. ICDM 2020: 912-917 - [c19]Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein:
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. RecSys 2020: 468-473 - 2019
- [c18]Oren Barkan, David Tsiris:
Deep Synthesizer Parameter Estimation. ICASSP 2019: 3887-3891 - [c17]Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz:
CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys 2019: 228-236 - [c16]Gal Lavee, Noam Koenigstein, Oren Barkan:
When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction. RecSys 2019: 287-295 - 2017
- [c15]Oren Barkan:
Bayesian Neural Word Embedding. AAAI 2017: 3135-3143 - [c14]Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai:
Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. WSDM 2017: 445-453 - 2016
- [c13]Oren Barkan, Amir Averbuch:
Robust mixture models for anomaly detection. MLSP 2016: 1-6 - [c12]Oren Barkan, Noam Koenigstein:
ITEM2VEC: Neural item embedding for collaborative filtering. MLSP 2016: 1-6 - [c11]Oren Barkan, Jonathan Weill, Amir Averbuch:
Gaussian process regression for out-of-sample extension. MLSP 2016: 1-6 - [c10]Oren Barkan, Yael Brumer, Noam Koenigstein:
Modelling Session Activity with Neural Embedding. RecSys Posters 2016 - [c9]Oren Barkan, Noam Koenigstein:
Item2vec: Neural Item Embedding for Collaborative Filtering. RecSys Posters 2016 - 2013
- [c8]Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel:
Adaptive Compressed Tomography Sensing. CVPR 2013: 2195-2202 - [c7]Oren Barkan, Hagai Aronowitz:
Diffusion maps for PLDA-based speaker verification. ICASSP 2013: 7639-7643 - [c6]Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz:
Fast High Dimensional Vector Multiplication Face Recognition. ICCV 2013: 1960-1967 - [c5]Aharon Satt, Alexander Sorin, Orith Toledo-Ronen, Oren Barkan, Ioannis Kompatsiaris, Athina Kokonozi, Magda Tsolaki:
Evaluation of speech-based protocol for detection of early-stage dementia. INTERSPEECH 2013: 1692-1696 - [c4]Hagai Aronowitz, Oren Barkan:
On leveraging conversational data for building a text dependent speaker verification system. INTERSPEECH 2013: 2470-2473 - 2012
- [c3]Hagai Aronowitz, Oren Barkan:
Efficient approximated i-vector extraction. ICASSP 2012: 4789-4792 - [c2]Oren Barkan, Amir Averbuch, Shai Dekel, Yaniv Tenzer:
A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition. MMCS 2012: 13-33 - 2011
- [c1]Hagai Aronowitz, Oren Barkan:
New Developments in Joint Factor Analysis for Speaker Verification. INTERSPEECH 2011: 129-132
Informal and Other Publications
- 2024
- [i27]Noy Uzrad, Oren Barkan, Almog Elharar, Shlomi Shvartzman, Moshe Laufer, Lior Wolf, Noam Koenigstein:
DiffMoog: a Differentiable Modular Synthesizer for Sound Matching. CoRR abs/2401.12570 (2024) - [i26]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
- [i25]Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein:
GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. CoRR abs/2306.07941 (2023) - [i24]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) - [i23]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) - [i22]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. CoRR abs/2310.15368 (2023) - [i21]Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein:
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. CoRR abs/2310.16584 (2023) - [i20]Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein:
Visual Explanations via Iterated Integrated Attributions. CoRR abs/2310.18585 (2023) - 2022
- [i19]Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein:
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CoRR abs/2204.11073 (2022) - [i18]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein:
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR abs/2208.06610 (2022) - [i17]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
- [i16]Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein:
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR abs/2106.01186 (2021) - [i15]Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein:
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CoRR abs/2109.00951 (2021) - [i14]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) - 2020
- [i13]Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein:
Attentive Item2Vec: Neural Attentive User Representations. CoRR abs/2002.06205 (2020) - [i12]Oren Barkan, Ori Katz, Noam Koenigstein:
Neural Attentive Multiview Machines. CoRR abs/2002.07696 (2020) - [i11]Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein:
Bayesian Hierarchical Words Representation Learning. CoRR abs/2004.07126 (2020) - [i10]Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein:
RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR abs/2009.13292 (2020) - [i9]Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein:
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. CoRR abs/2010.07042 (2020) - 2019
- [i8]Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR abs/1908.05161 (2019) - [i7]Oren Barkan:
Multiscale Self Attentive Convolutions for Vision and Language Modeling. CoRR abs/1912.01521 (2019) - 2018
- [i6]Oren Barkan, David Tsiris:
Deep Synthesizer Parameter Estimation. CoRR abs/1812.06349 (2018) - 2017
- [i5]Yael Brumer, Bracha Shapira, Lior Rokach, Oren Barkan:
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08359 (2017) - 2016
- [i4]Oren Barkan, Jonathan Weill, Amir Averbuch:
Gaussian Process Regression for Out-of-Sample Extension. CoRR abs/1603.02194 (2016) - [i3]Oren Barkan, Noam Koenigstein:
Item2Vec: Neural Item Embedding for Collaborative Filtering. CoRR abs/1603.04259 (2016) - [i2]Oren Barkan:
Bayesian Neural Word Embedding. CoRR abs/1603.06571 (2016) - [i1]Oren Barkan, Noam Koenigstein, Eylon Yogev:
The Deep Journey from Content to Collaborative Filtering. CoRR abs/1611.00384 (2016)
Coauthor Index
[j5] [j4] [j3] [j2] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [c20] [c19] [c17] [c16] [c14] [c12] [c10] [c9] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i3] [i1]
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