Lindenbaum, Ofir

22 publications

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 COPER: Correlation-Based Permutations for Multi-View Clustering Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum

TMLR 2025 Generalizable and Robust Spectral Method for Multi-View Representation Learning Amitai Yacobi, Ofir Lindenbaum, Uri Shaham

NeurIPS 2025 Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings Erel Naor, Ofir Lindenbaum

ICML 2025 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

NeurIPS 2025 SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum

TMLR 2025 Unveiling Multiple Descents in Unsupervised Autoencoders Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum

UAI 2024 Anomaly Detection with Variance Stabilized Density Estimation Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum

ICML 2024 Contextual Feature Selection with Conditional Stochastic Gates Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty

TMLR 2024 Domain-Generalizable Multiple-Domain Clustering Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum

ICML 2024 Interpretable Deep Clustering for Tabular Data Jonathan Svirsky, Ofir Lindenbaum

AISTATS 2024 Revisiting the Noise Model of Stochastic Gradient Descent Barak Battash, Lior Wolf, Ofir Lindenbaum

TMLR 2024 Spectral Self-Supervised Feature Selection Daniel Segal, Ofir Lindenbaum, Ariel Jaffe

UAI 2024 Transductive and Inductive Outlier Detection with Robust Autoencoders Ofir Lindenbaum, Yariv Aizenbud, Yuval Kluger

UAI 2023 Multi-Modal Differentiable Unsupervised Feature Selection Junchen Yang, Ofir Lindenbaum, Yuval Kluger, Ariel Jaffe

NeurIPSW 2023 Revisiting the Noise Model of SGD Barak Battash, Lior Wolf, Ofir Lindenbaum

ICLR 2022 L0-Sparse Canonical Correlation Analysis Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger

ICML 2022 Locally Sparse Neural Networks for Tabular Biomedical Data Junchen Yang, Ofir Lindenbaum, Yuval Kluger

NeurIPS 2021 Differentiable Unsupervised Feature Selection Based on a Gated Laplacian Ofir Lindenbaum, Uri Shaham, Erez Peterfreund, Jonathan Svirsky, Nicolas Casey, Yuval Kluger

ICML 2020 Feature Selection Using Stochastic Gates Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger

ECCV 2020 Variational Diffusion Autoencoders with Random Walk Sampling Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger

NeurIPS 2018 Geometry Based Data Generation Ofir Lindenbaum, Jay Stanley, Guy Wolf, Smita Krishnaswamy