| 2026 | AAAI | Unsupervised Feature Selection Through Group Discovery. | Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty |
| 2025 | ECAI | Supervised Embedded Methods for Hyperspectral Band Selection. | Yaniv Zimmer, Ofir Lindenbaum, Oren Glickman |
| 2025 | ICASSP | Conditional Deep Canonical Time Warping. | Ran Eisenberg, Afek Steinberg, Ofir Lindenbaum |
| 2025 | ICLR | COPER: Correlation-based Permutations for Multi-View Clustering. | Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum |
| 2025 | ICLR | AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. | Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum |
| 2025 | ICML | Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data. | Erez Peterfreund, Ofir Lindenbaum, Yuval Kluger, Boris Landa |
| 2024 | AISTATS | Revisiting the Noise Model of Stochastic Gradient Descent. | Barak Battash, Lior Wolf, Ofir Lindenbaum |
| 2024 | EMNLP | Knowledge Editing in Language Models via Adapted Direct Preference Optimization. | Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum |
| 2024 | ICASSP | Unsupervised Acoustic Scene Mapping Based on Acoustic Features and Dimensionality Reduction. | Idan Cohen, Sharon Gannot, Ofir Lindenbaum |
| 2024 | ICML | Contextual Feature Selection with Conditional Stochastic Gates. | Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty |
| 2024 | ICML | Interpretable Deep Clustering for Tabular Data. | Jonathan Svirsky, Ofir Lindenbaum |
| 2024 | Interspeech | Sparse Binarization for Fast Keyword Spotting. | Jonathan Svirsky, Uri Shaham, Ofir Lindenbaum |
| 2024 | UAI | Transductive and Inductive Outlier Detection with Robust Autoencoders. | Ofir Lindenbaum, Yariv Aizenbud, Yuval Kluger |
| 2024 | UAI | Anomaly Detection with Variance Stabilized Density Estimation. | Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum |
| 2023 | ICASSP | Neuronal Cell Type Classification Using Locally Sparse Networks. | Ofek Ophir, Orit Shefi, Ofir Lindenbaum |
| 2023 | ICASSP | SG-VAD: Stochastic Gates Based Speech Activity Detection. | Jonathan Svirsky, Ofir Lindenbaum |
| 2023 | UAI | Multi-modal differentiable unsupervised feature selection. | Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe |
| 2022 | ICLR | L0-Sparse Canonical Correlation Analysis. | Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger |
| 2022 | ICML | Locally Sparse Neural Networks for Tabular Biomedical Data. | Junchen Yang, Ofir Lindenbaum, Yuval Kluger |
| 2020 | ECCV | Variational Diffusion Autoencoders with Random Walk Sampling. | Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger |
| 2020 | ICML | Feature Selection using Stochastic Gates. | Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger |
| 2016 | ICDM | Clustering Based on MultiView Diffusion Maps. | Ofir Lindenbaum, Arie Yeredor, Amir Averbuch |