Oren Barkan

发表

Fast High Dimensional Vector Multiplication Face Recognition

Oren Barkan, Hagai Aronowitz, Lior Wolf, 2013, 2013 IEEE International Conference on Computer Vision.

Robust Subspace Mixture Models for Anomaly Detection in High Dimensions

A. Averbuch, Oren Barkan, 2015 .

A Mathematical Model for Adaptive Computed Tomography Sensing

Oren Barkan, Amir Averbuch, Shai Dekel, 2017, IEEE Transactions on Computational Imaging.

Non-Linear I-vector Extraction for Speaker Recognition

Oren Barkan, Hagai Aronowitz, 2013 .

Deep Synthesizer Parameter Estimation

Oren Barkan, Noam Koenigstein, Ori Katz, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation

Oren Barkan, Noam Koenigstein, Ori Katz, 2022, RecSys.

Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps

Oren Barkan, Itzik Malkiel, Noam Koenigstein, 2021, CIKM.

Interpreting BERT-based Text Similarity via Activation and Saliency Maps

Oren Barkan, Jonathan Weill, Itzik Malkiel, 2022, WWW.

Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks

Oren Barkan, Noam Koenigstein, Jonathan Benchimol, 2020, International Journal of Forecasting.

Robust mixture models for anomaly detection

Oren Barkan, Amir Averbuch, A. Averbuch, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Diffusion maps for PLDA-based speaker verification

Oren Barkan, Hagai Aronowitz, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

ITEM2VEC: Neural item embedding for collaborative filtering

Oren Barkan, Noam Koenigstein, Oren Barkan, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition

Oren Barkan, Amir Averbuch, Shai Dekel, 2012, MMCS.

Bayesian Neural Word Embedding pdf

Oren Barkan, Oren Barkan, 2016, AAAI.

Predicting Disaggregated CPI Inflation Components via Hierarchical Recurrent Neural Networks

Oren Barkan, Noam Koenigstein, Itamar Caspi, 2020 .

Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding

Oren Barkan, Itzik Malkiel, Avi Caciularu, 2019, AAAI.

CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations

Oren Barkan, Eylon Yogev, Noam Koenigstein, 2016, RecSys.

Evaluation of speech-based protocol for detection of early-stage dementia

Yiannis Kompatsiaris, Oren Barkan, Magda Tsolaki, 2013, INTERSPEECH.

Efficient approximated i-vector extraction

Oren Barkan, Hagai Aronowitz, Oren Barkan, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals

Oren Barkan, Noam Koenigstein, David Tsiris, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Representation Learning via Variational Bayesian Networks

Oren Barkan, Idan Rejwan, Jonathan Weill, 2021, CIKM.

Cold Item Recommendations via Hierarchical Item2vec

Oren Barkan, Jonathan Weill, Itzik Malkiel, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Bayesian Hierarchical Words Representation Learning

Oren Barkan, Idan Rejwan, Avi Caciularu, 2020, ACL.

Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates

Oren Barkan, Avi Caciularu, Jonathan Weill, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering

Oren Barkan, Noam Koenigstein, Keren Gaiger, 2023, IEEE Access.

Metricbert: Text Representation Learning Via Self-Supervised Triplet Training

Oren Barkan, Itzik Malkiel, Noam Koenigstein, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference

Oren Barkan, Avi Caciularu, Noam Koenigstein, 2021, FINDINGS.

Optimizing BERT for Unlabeled Text-Based Items Similarity pdf

Oren Barkan, Itzik Malkiel, Avi Caciularu, 2020, FINDINGS.

Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering

Oren Barkan, Noam Koenigstein, Avi Caciularu, 2020, RecSys.