Noam Koenigstein

113 papers A* 19A 27C 1Misc 6Journal 42Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness. CoRR Yehonatan Elisha, Oren Barkan, Noam Koenigstein
2026	A*	`conf`	Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems. AAAI Dor Arviv, Yehonatan Elisha, Oren Barkan, Noam Koenigstein
2026	A*	`conf`	Fidelity-Aware Recommendation Explanations via Stochastic Path Integration. AAAI Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein
2026	J	`jnl`	LXR: Learning to eXplain Recommendations. Trans. Recomm. Syst. Liya Gurevitch, Veronika Bogina, Oren Barkan, Yahlly Schein, Yehonatan Elisha, Noam Koenigstein
2026	A*	`conf`	Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations. AAAI Yehonatan Elisha, Seffi Cohen, Oren Barkan, Noam Koenigstein
2025	A*	`conf`	BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation. AAAI Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein
2025	J	`jnl`	Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems. CoRR Dor Arviv, Yehonatan Elisha, Oren Barkan, Noam Koenigstein
2025	J	`jnl`	Fidelity-Aware Recommendation Explanations via Stochastic Path Integration. CoRR Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein
2025	J	`jnl`	KPAR: Knowledge-aware Path-based Attentive Recommender with Interpretability. Trans. Recomm. Syst. Leigh Eytan, Veronika Bogina, Irad Ben-Gal, Noam Koenigstein
2025	J	`jnl`	PatchView: Multi-modality detection of security patches. Comput. Secur. Nitzan Farhi, Noam Koenigstein, Yuval Shavitt
2025	J	`jnl`	Personalized Cadence Awareness for Next Basket Recommendation. Trans. Recomm. Syst. Ori Katz, Oren Barkan, Noam Koenigstein
2025	A*	`conf`	Refining Fidelity Metrics for Explainable Recommendations. SIGIR Mikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron I. Allerhand, Oren Barkan, Noam Koenigstein
2025	J	`jnl`	Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations. CoRR Yehonatan Elisha, Seffi Cohen, Oren Barkan, Noam Koenigstein
2025	A	`conf`	Unveiling Creativity in Student Code: A Gaussian Mixture Model Approach. UMAP Veronika Bogina, Arnon Hershkovitz, Noam Koenigstein
2024	A*	`conf`	A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. WWW Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein
2024	A	`conf`	A Learning-based Approach for Explaining Language Models. CIKM Oren Barkan, Yonatan Toib, Yehonatan Elisha, Noam Koenigstein
2024	J	`jnl`	BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation. CoRR Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein
2024	J	`jnl`	DiffMoog: a Differentiable Modular Synthesizer for Sound Matching. CoRR Noy Uzrad, Oren Barkan, Almog Elharar, Shlomi Shvartzman, Moshe Laufer, Lior Wolf, 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
2024	J	`jnl`	Modeling users' heterogeneous taste with diversified attentive user profiles. User Model. User Adapt. Interact. Oren Barkan, Tom Shaked, Yonatan Fuchs, Noam Koenigstein
2024	A	`conf`	Probabilistic Path Integration with Mixture of Baseline Distributions. CIKM Yehonatan Elisha, Oren Barkan, Noam Koenigstein
2024	Misc	`conf`	SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. ICASSP Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
2024	Misc	`conf`	Unsupervised Topic-Conditional Extractive Summarization. ICASSP Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, 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	J	`jnl`	Detecting Security Patches via Behavioral Data in Code Repositories. CoRR Nitzan Farhi, Noam Koenigstein, Yuval Shavitt
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`	GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. CoRR Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
2023	A	`conf`	Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. CIKM Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
2023	—	`conf`	Inversynth II: Sound Matching via Self-Supervised Synthesizer-Proxy and Inference-Time Finetuning. ISMIR Oren Barkan, Shlomi Shvartzman, Noy Uzrad, Moshe Laufer, Almog Elharar, Noam Koenigstein
2023	A*	`conf`	Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
2023	J	`jnl`	Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. CoRR Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
2023	J	`jnl`	Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering. IEEE Access Keren Gaiger, Oren Barkan, Shir Tsipory-Samuel, 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
2023	A*	`conf`	Visual Explanations via Iterated Integrated Attributions. ICCV Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein
2023	J	`jnl`	Visual Explanations via Iterated Integrated Attributions. CoRR Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein
2022	J	`jnl`	Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CoRR Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, 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
2022	A	`conf`	Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. RecSys Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari
2022	J	`jnl`	MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
2022	Misc	`conf`	Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
2021	A	`conf`	Anchor-based Collaborative Filtering. CIKM Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, 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	Misc	`conf`	Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization. ICASSP Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Yoni Weill, Noam Koenigstein
2021	A	`conf`	GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CIKM Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
2021	J	`jnl`	GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CoRR Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
2021	A	`conf`	Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CIKM Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, 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
2021	—	`conf`	Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. ACL/IJCNLP (Findings) Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
2021	J	`jnl`	Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
2020	J	`jnl`	Attentive Item2Vec: Neural Attentive User Representations. CoRR Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
2020	Misc	`conf`	Attentive Item2vec: Neural Attentive User Representations. ICASSP Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
2020	J	`jnl`	Autoencoders. CoRR Dor Bank, Noam Koenigstein, Raja Giryes
2020	A*	`conf`	Bayesian Hierarchical Words Representation Learning. ACL Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein
2020	J	`jnl`	Bayesian Hierarchical Words Representation Learning. CoRR Oren Barkan, Idan Rejwan, Avi Caciularu, 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
2020	A	`conf`	Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. RecSys Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
2020	J	`jnl`	Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. CoRR Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
2020	Misc	`conf`	Neural Attentive Multiview Machines. ICASSP Oren Barkan, Ori Katz, Noam Koenigstein
2020	J	`jnl`	Neural Attentive Multiview Machines. CoRR Oren Barkan, Ori Katz, Noam Koenigstein
2020	—	`conf`	Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
2020	A	`ed.`	RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020 RecSys Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen, Kim Falk, Noam Koenigstein, Edleno Silva de Moura
2020	J	`jnl`	RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
2020	A*	`conf`	Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
2019	A	`conf`	CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz
2019	J	`jnl`	InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. Oren Barkan, David Tsiris, Ori Katz, Noam Koenigstein
2019	A	`conf`	Pick & merge: an efficient item filtering scheme for Windows store recommendations. RecSys Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron I. Allerhand, Nir Nice, Noam Koenigstein
2019	J	`jnl`	Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
2019	A	`conf`	When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction. RecSys Gal Lavee, Noam Koenigstein, Oren Barkan
2017	A	`conf`	Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. WSDM Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai
2017	A*	`conf`	Low-Rank Factorization of Determinantal Point Processes. AAAI Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2017	A	`conf`	Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights. RecSys Noam Koenigstein
2016	A	`conf`	Bayesian Low-Rank Determinantal Point Processes. RecSys Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016	A*	`conf`	Beyond Collaborative Filtering: The List Recommendation Problem. WWW Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan
2016	—	`conf`	ITEM2VEC: Neural item embedding for collaborative filtering. MLSP Oren Barkan, Noam Koenigstein
2016	J	`jnl`	Item2Vec: Neural Item Embedding for Collaborative Filtering. CoRR Oren Barkan, Noam Koenigstein
2016	—	`conf`	Item2vec: Neural Item Embedding for Collaborative Filtering. RecSys Posters Oren Barkan, Noam Koenigstein
2016	J	`jnl`	Low-Rank Factorization of Determinantal Point Processes for Recommendation. CoRR Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016	—	`conf`	Modelling Session Activity with Neural Embedding. RecSys Posters Oren Barkan, Yael Brumer, Noam Koenigstein
2016	J	`jnl`	The Bayesian Low-Rank Determinantal Point Process Mixture Model. CoRR Mike Gartrell, Ulrich Paquet, Noam Koenigstein
2016	J	`jnl`	The Deep Journey from Content to Collaborative Filtering. CoRR Oren Barkan, Noam Koenigstein, Eylon Yogev
2014	—	`conf`	A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems. RecSys Posters Shay Ben-Elazar, Noam Koenigstein
2014	—	`conf`	A large-scale exploration of group viewing patterns. TVX Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
2014	—	`ch.`	Mining User Generated Data for Music Information Retrieval. Mining User Generated Content Markus Schedl, Mohamed Sordo, Noam Koenigstein, Udi Weinsberg
2014	A	`conf`	Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. RecSys Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
2013	J	`jnl`	One-class Collaborative Filtering with Random Graphs: Annotated Version. CoRR Ulrich Paquet, Noam Koenigstein
2013	A*	`conf`	One-class collaborative filtering with random graphs. WWW Ulrich Paquet, Noam Koenigstein
2013	A	`conf`	Sage: recommender engine as a cloud service. RecSys Royi Ronen, Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari, Neta Haiby-Weiss
2013	A	`conf`	Selecting content-based features for collaborative filtering recommenders. RecSys Royi Ronen, Noam Koenigstein, Elad Ziklik, Nir Nice
2013	A	`conf`	Towards scalable and accurate item-oriented recommendations. RecSys Noam Koenigstein, Yehuda Koren
2013	A	`conf`	Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection. RecSys Noam Koenigstein, Ulrich Paquet
2012	A	`conf`	Efficient retrieval of recommendations in a matrix factorization framework. CIKM Noam Koenigstein, Parikshit Ram, Yuval Shavitt
2012	J	`jnl`	Measuring the validity of peer-to-peer data for information retrieval applications. Comput. Networks Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
2012	J	`jnl`	Talent scouting in P2P networks. Comput. Networks Noam Koenigstein, Yuval Shavitt
2012	A	`conf`	The Xbox recommender system. RecSys Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen
2012	—	`conf`	The Yahoo! Music Dataset and KDD-Cup '11. KDD Cup Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer
2012	J	`jnl`	Web-Scale Media Recommendation Systems. Proc. IEEE Gideon Dror, Noam Koenigstein, Yehuda Koren
2011	A	`conf`	Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. RecSys Noam Koenigstein, Gideon Dror, Yehuda Koren
2010	A	`conf`	A framework for extracting musical similarities from peer-to-peer networks. ICME Noam Koenigstein, Yuval Shavitt, Tomer Tankel, Ela Weinsberg, Udi Weinsberg
2010	—	`conf`	Analyzing the DC File Sharing Network. Peer-to-Peer Computing Pavel Gurvich, Noam Koenigstein, Yuval Shavitt
2010	—	`conf`	Collaborative Filtering Based on P2P Networks. ISMIR Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt
2010	—	`conf`	On the Applicability of Peer-to-peer Data in Music Information Retrieval Research. ISMIR Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
2010	—	`conf`	What's Hot? Estimating Country-specific Artist Popularity. ISMIR Markus Schedl, Tim Pohle, Noam Koenigstein, Peter Knees
2009	C	`conf`	Predicting Billboard Success Using Data-Mining in P2P Networks. ISM Noam Koenigstein, Yuval Shavitt, Noa Zilberman
2009	—	`conf`	Song Ranking based on Piracy in Peer-to-Peer Networks. ISMIR Noam Koenigstein, Yuval Shavitt
2008	A*	`conf`	Spotting out emerging artists using geo-aware analysis of P2P query strings. KDD Noam Koenigstein, Yuval Shavitt, Tomer Tankel