Jonathan Svirsky

21 papers A* 5A 1Misc 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Train Less, Infer Faster: Efficient Model Finetuning and Compression via Structured Sparsity.
CoRR
Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum
2025 A* conf
AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning.
ICLR
Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum
2025 A* conf
COPER: Correlation-based Permutations for Multi-View Clustering.
ICLR
Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum
2025 J jnl
Provable Speech Attributes Conversion via Latent Independence.
CoRR
Jonathan Svirsky, Ofir Lindenbaum, Uri Shaham
2024 J jnl
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning.
CoRR
Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum
2024 J jnl
FineGates: LLMs Finetuning with Compression using Stochastic Gates.
CoRR
Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum
2024 A* conf
Interpretable Deep Clustering for Tabular Data.
ICML
Jonathan Svirsky, Ofir Lindenbaum
2024 J jnl
Self Supervised Correlation-based Permutations for Multi-View Clustering.
CoRR
Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum
2024 A conf
Sparse Binarization for Fast Keyword Spotting.
INTERSPEECH
Jonathan Svirsky, Uri Shaham, Ofir Lindenbaum
2024 J jnl
Sparse Binarization for Fast Keyword Spotting.
CoRR
Jonathan Svirsky, Uri Shaham, Ofir Lindenbaum
2023 J jnl
Interpretable Deep Clustering.
CoRR
Jonathan Svirsky, Ofir Lindenbaum
2023 Misc conf
SG-VAD: Stochastic Gates Based Speech Activity Detection.
ICASSP
Jonathan Svirsky, Ofir Lindenbaum
2022 J jnl
Deep unsupervised feature selection by discarding nuisance and correlated features.
Neural Networks
Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger
2022 A* conf
Discovery of Single Independent Latent Variable.
NeurIPS
Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
2022 J jnl
SG-VAD: Stochastic Gates Based Speech Activity Detection.
CoRR
Jonathan Svirsky, Ofir Lindenbaum
2021 J jnl
Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features.
CoRR
Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger
2021 A* conf
Differentiable Unsupervised Feature Selection based on a Gated Laplacian.
NeurIPS
Ofir Lindenbaum, Uri Shaham, Erez Peterfreund, Jonathan Svirsky, Nicolas Casey, Yuval Kluger
2021 J jnl
Single Independent Component Recovery and Applications.
CoRR
Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
2020 J jnl
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities.
CoRR
Uri Shaham, Jonathan Svirsky
2020 J jnl
Let the Data Choose its Features: Differentiable Unsupervised Feature Selection.
CoRR
Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger
2016 J jnl
Comparative Analysis of Approximate Blocking Techniques for Entity Resolution.
Proc. VLDB Endow.
George Papadakis, Jonathan Svirsky, Avigdor Gal, Themis Palpanas