Comparative Analysis of Approximate Blocking Techniques for Entity Resolution. - George Papadakis 001; Jonathan Svirsky; Avigdor Gal; Themis Palpanas (Proc. VLDB Endow., 2016)

Let the Data Choose its Features: Differentiable Unsupervised Feature Selection. - Ofir Lindenbaum; Uri Shaham 001; Jonathan Svirsky; Erez Peterfreund; Yuval Kluger (CoRR, 2020)

Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities. - Uri Shaham 001; Jonathan Svirsky (CoRR, 2020)

Differentiable Unsupervised Feature Selection based on a Gated Laplacian. - Ofir Lindenbaum; Uri Shaham 001; Erez Peterfreund; Jonathan Svirsky; Nicolas Casey; Yuval Kluger (NeurIPS, 2021)

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

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

Deep unsupervised feature selection by discarding nuisance and correlated features. - Uri Shaham 001; Ofir Lindenbaum; Jonathan Svirsky; Yuval Kluger (Neural Networks, 2022)

SG-VAD: Stochastic Gates Based Speech Activity Detection. - Jonathan Svirsky; Ofir Lindenbaum (ICASSP, 2023)

Interpretable Deep Clustering. - Jonathan Svirsky; Ofir Lindenbaum (CoRR, 2023)

Interpretable Deep Clustering for Tabular Data. - Jonathan Svirsky; Ofir Lindenbaum (ICML, 2024)

Sparse Binarization for Fast Keyword Spotting. - Jonathan Svirsky; Uri Shaham 001; Ofir Lindenbaum (INTERSPEECH, 2024)

Self Supervised Correlation-based Permutations for Multi-View Clustering. - Ran Eisenberg; Jonathan Svirsky; Ofir Lindenbaum (CoRR, 2024)

FineGates: LLMs Finetuning with Compression using Stochastic Gates. - Jonathan Svirsky; Yehonathan Refael; Ofir Lindenbaum (CoRR, 2024)

COPER: Correlation-based Permutations for Multi-View Clustering. - Ran Eisenberg; Jonathan Svirsky; Ofir Lindenbaum (ICLR, 2025)

AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. - Yehonathan Refael; Jonathan Svirsky; Boris Shustin; Wasim Huleihel; Ofir Lindenbaum (ICLR, 2025)