Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination and sparse joint support recovery. - Eliel Hojman; Thomas Chaigne; Oren Solomon; Sylvain Gigan; Emmanuel Bossy; Yonina C. Eldar; Ori Katz (CoRR, 2016)

Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment. - Ori Katz; Ronen Talmon; Yu-Lun Lo; Hau-Tieng Wu (CoRR, 2017)

CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. - Oren Barkan; Noam Koenigstein; Eylon Yogev; Ori Katz (RecSys, 2019)

Alternating diffusion maps for multimodal data fusion. - Ori Katz; Ronen Talmon; Yu-Lun Lo; Hau-Tieng Wu (Inf. Fusion, 2019)

InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals. - Oren Barkan; David Tsiris; Ori Katz; Noam Koenigstein (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. - Oren Barkan; Noam Razin; Itzik Malkiel; Ori Katz; Avi Caciularu; Noam Koenigstein (AAAI, 2020)

Optimizing BERT for Unlabeled Text-Based Items Similarity. - Itzik Malkiel; Oren Barkan; Avi Caciularu; Noam Razin; Ori Katz; Noam Koenigstein (EMNLP (Findings), 2020)

Attentive Item2vec: Neural Attentive User Representations. - Oren Barkan; Avi Caciularu; Ori Katz; Noam Koenigstein (ICASSP, 2020)

Neural Attentive Multiview Machines. - Oren Barkan; Ori Katz; Noam Koenigstein (ICASSP, 2020)

Cold Item Recommendations via Hierarchical Item2vec. - Oren Barkan; Avi Caciularu; Idan Rejwan; Ori Katz; Jonathan Weill; Itzik Malkiel; Noam Koenigstein (ICDM, 2020)

Guidestar-free image-guided wavefront-shaping. - Tomer Yeminy; Ori Katz (CoRR, 2020)

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing. - Ori Katz; Roy R. Lederman; Ronen Talmon (CoRR, 2020)

RecoBERT: A Catalog Language Model for Text-Based Recommendations. - Itzik Malkiel; Oren Barkan; Avi Caciularu; Noam Razin; Ori Katz; Noam Koenigstein (CoRR, 2020)

GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. - Oren Barkan; Omri Armstrong; Amir Hertz; Avi Caciularu; Ori Katz; Itzik Malkiel; Noam Koenigstein (CIKM, 2021)

Representation Learning via Variational Bayesian Networks. - Oren Barkan; Avi Caciularu; Idan Rejwan; Ori Katz; Jonathan Weill; Itzik Malkiel; Noam Koenigstein (CIKM, 2021)

Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. - Oren Barkan; Edan Hauon; Avi Caciularu; Ori Katz; Itzik Malkiel; Omri Armstrong; Noam Koenigstein (CIKM, 2021)

Anchor-based Collaborative Filtering. - Oren Barkan; Roy Hirsch; Ori Katz; Avi Caciularu; Noam Koenigstein (CIKM, 2021)

Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization. - Oren Barkan; Roy Hirsch; Ori Katz; Avi Caciularu; Yoni Weill; Noam Koenigstein (ICASSP, 2021)

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. - Oren Barkan; Roy Hirsch; Ori Katz; Avi Caciularu; Jonathan Weill; Noam Koenigstein (ICDM, 2021)

Single Independent Component Recovery and Applications. - Uri Shaham 001; Jonathan Svirsky; Ori Katz; Ronen Talmon (CoRR, 2021)

Guest Editorial: Introduction to the Special Section on Computational Photography. - Yoav Y. Schechner; Kavita Bala; Ori Katz; Kalyan Sunkavalli; Ko Nishino (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Discovery of Single Independent Latent Variable. - Uri Shaham 001; Jonathan Svirsky; Ori Katz; Ronen Talmon (NeurIPS, 2022)

Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. - Ori Katz; Oren Barkan; Noam Koenigstein; Nir Zabari (RecSys, 2022)

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 (ICCV, 2023)

Unsupervised Topic-Conditional Extractive Summarization. - Itzik Malkiel; Yakir Yehuda; Jonathan Ephrath; Ori Katz; Oren Barkan; Nir Nice; Noam Koenigstein (ICASSP, 2024)

Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment. - Ori Katz; Ronen Talmon; Uri Shaham 001 (Trans. Mach. Learn. Res., 2024)

Multimodal manifold learning using kernel interpolation along geodesic paths. - Ori Katz; Roy R. Lederman; Ronen Talmon (Inf. Fusion, 2025)

Personalized Cadence Awareness for Next Basket Recommendation. - Ori Katz; Oren Barkan; Noam Koenigstein (Trans. Recomm. Syst., 2025)

Passive acoustic non-line-of-sight localization without a relay surface. - Tal I. Sommer; Ori Katz (CoRR, 2025)