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Feldman, Dan

  1. A Unified Framework for Approximating and Clustering Data
    2011/06/07 by Dan Feldman, Michael Langberg, Feldman, Dan +1 · 8 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  2. Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering
    2018/07/12 by Feldman, Dan, Schmidt, Melanie, Sohler, Christian · 7 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  3. Provable Filter Pruning for Efficient Neural Networks
    2019/11/18 by Liebenwein, Lucas, Baykal, Cenk, Lang, Harry +2 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Affective Polarization and Dynamics of Information Spread in Online Networks
    2023/10/28 by Lerman, Kristina, Feldman, Dan, He, Zihao +1 · 8 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  5. k-Means Clustering of Lines for Big Data
    2019/03/16 by Marom, Yair, Feldman, Dan · 3 citations
    #Computational Geometry (cs.CG) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  6. Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
    2018/04/15 by Baykal, Cenk, Liebenwein, Lucas, Gilitschenski, Igor +2 · 3 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Introduction to Core-sets: an Updated Survey
    2020/11/18 by Feldman, Dan · 3 citations
    #Artificial Intelligence (cs.AI) #Computational Geometry (cs.CG) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. New Frameworks for Offline and Streaming Coreset Constructions
    2016/12/02 by Braverman, Vladimir, Feldman, Dan, Lang, Harry +2 · 2 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  9. SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks
    2019/10/11 by Baykal, Cenk, Liebenwein, Lucas, Gilitschenski, Igor +2 · 2 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. New Coresets for Projective Clustering and Applications
    2022/03/08 by Tukan, Murad, Wu, Xuan, Zhou, Samson +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
    2021/07/23 by Lucas Liebenwein, Alaa Maalouf, Liebenwein, Lucas +8 · 2 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques
  12. Training Gaussian Mixture Models at Scale via Coresets
    2017/03/23 by Lucic, Mario, Faulkner, Matthew, Krause, Andreas +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  13. Data-Independent Neural Pruning via Coresets
    2019/07/09 by Mussay, Ben, Osadchy, Margarita, Braverman, Vladimir +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Tight Sensitivity Bounds For Smaller Coresets
    2019/07/02 by Maalouf, Alaa, Statman, Adiel, Feldman, Dan · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Sets Clustering
    2020/03/09 by Jubran, Ibrahim, Tukan, Murad, Maalouf, Alaa +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Coresets for Decision Trees of Signals
    2021/10/07 by Ibrahim Jubran, Jubran, Ibrahim, Ernesto Evgeniy Sanches Shayda +5 · 1 citation
    Computer Science · #Graph Theory and Algorithms #Face and Expression Recognition #Machine Learning and Data Classification
  17. Obstacle Aware Sampling for Path Planning
    2022/03/08 by Tukan, Murad, Maalouf, Alaa, Feldman, Dan +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  18. Provable Data Subset Selection For Efficient Neural Network Training
    2023/03/09 by Tukan, Murad, Zhou, Samson, Maalouf, Alaa +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Dimensionality Reduction of Massive Sparse Datasets Using Coresets
    2015/03/05 by Dan Feldman, Feldman, Dan, Mikhail Volkov +3 · 1 citation
    Computer Science · Engineering · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Face and Expression Recognition #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  20. A Unified Approach to Coreset Learning
    2021/11/04 by Maalouf, Alaa, Eini, Gilad, Mussay, Ben +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Introduction to Coresets: Approximated Mean
    2021/11/04 by Maalouf, Alaa, Jubran, Ibrahim, Feldman, Dan · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Deep Learning Meets Projective Clustering
    2020/10/08 by Maalouf, Alaa, Lang, Harry, Rus, Daniela +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Deep Learning on Home Drone: Searching for the Optimal Architecture
    2022/09/21 by Maalouf, Alaa, Gurfinkel, Yotam, Diker, Barak +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)