Ofir Lindenbaum

1. Revisiting the Noise Model of Stochastic Gradient Descent
   2023/03/05 by Barak Battash, Ofir Lindenbaum, Battash, Barak +1 · 9 citations
   Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference
2. Locally Sparse Neural Networks for Tabular Biomedical Data
   2021/06/11 by Junchen Yang, Yang, Junchen, Ofir Lindenbaum +3 · 5 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Machine Learning and Data Classification
3. SG-VAD: Stochastic Gates Based Speech Activity Detection
   2022/10/28 by Jonathan Svirsky, Svirsky, Jonathan, Ofir Lindenbaum +1 · 5 citations
   Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
4. Interpretable Deep Clustering for Tabular Data
   2023/06/07 by Jonathan Svirsky, Ofir Lindenbaum, Svirsky, Jonathan +1 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Clustering Algorithms Research #Biomedical Text Mining and Ontologies #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
   2024/10/23 by Yehonathan Refael, Refael, Yehonathan, Jonathan Svirsky +7 · 7 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Parallel Computing and Optimization Techniques #Speech Recognition and Synthesis
6. TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models
   2023/07/23 by Guy Zamberg, Zamberg, Guy, Moshe Salhov +5 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Time Series Analysis and Forecasting
7. Geometry-Based Data Generation
   2018/02/14 by Ofir Lindenbaum, Jay S. Stanley, Lindenbaum, Ofir +5 · 1 citation
   Mathematics · Computer Science · #Morphological variations and asymmetry #Data Visualization and Analytics #Image Processing and 3D Reconstruction
8. Obtaining Favorable Layouts for Multiple Object Generation
   2024/05/01 by Barak Battash, Amit Rozner, Battash, Barak +5 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2 #I.4 #Interactive and Immersive Displays #Robotic Path Planning Algorithms
9. SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
   2025/05/30 by Yehonathan Refael, Guy Smorodinsky, Refael, Yehonathan +5 · 5 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Speech Recognition and Synthesis #Topic Modeling
10. TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
    2024/10/28 by Iftach Arbel, Arbel, Iftach, Yehonathan Refael +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
11. Contextual Feature Selection with Conditional Stochastic Gates
    2023/12/21 by Ram Dyuthi Sristi, Ofir Lindenbaum, Sristi, Ram Dyuthi +10 · 1 citation
    Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI)
12. FineGates: LLMs Finetuning with Compression using Stochastic Gates
    2024/12/17 by Jonathan Svirsky, Yehonathan Refael, Svirsky, Jonathan +3 · 2 citations
    Computer Science · #Algorithms and Data Compression #Parallel Computing and Optimization Techniques #Numerical Methods and Algorithms
13. DO-CGI: deep-optimized illumination patterns for computational ghost imaging at low sampling ratios
    2026/07/28 by Mor Hale, Ofir Lindenbaum, Eliahu Cohen
    Physics and Astronomy · #physics.optics