19982021
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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

Subspace Mathematics
Recovery Mathematics
Spectral Clustering Mathematics
High-dimensional Mathematics
Outlier Mathematics
Principal component analysis Engineering & Materials Science
Curvature Mathematics
Computer vision Engineering & Materials Science

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Projects 2006 2021

Research Output 1998 2019

  • 30 Article
  • 9 Conference contribution
  • 1 Conference article
  • 1 Review article

A well-tempered landscape for non-convex robust subspace recovery

Maunu, T., Zhang, T. & Lerman, G., Feb 1 2019, In : Journal of Machine Learning Research. 20

Research output: Contribution to journalArticle

Recovery
Subspace
Gradient Descent Method
Gradient methods
Principal component analysis
1 Citation (Scopus)

Encoding robust representation for graph generation

Zou, D. & Lerman, G., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851705. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scattering
Hardware
1 Citation (Scopus)

Graph convolutional neural networks via scattering

Zou, D. & Lerman, G., Jan 1 2019, In : Applied and Computational Harmonic Analysis.

Research output: Contribution to journalArticle

Scattering
Neural Networks
Neural networks
Graph in graph theory
Manipulation
12 Citations (Scopus)

An Overview of Robust Subspace Recovery

Lerman, G. & Maunu, T., Aug 2018, In : Proceedings of the IEEE. 106, 8, p. 1380-1410 31 p., 8425657.

Research output: Contribution to journalReview article

Recovery

Distributed robust subspace recovery

Huroyan, V. & Lerman, G., Jan 1 2018, In : SIAM Journal on Scientific Computing. 40, 5, p. A3067-A3090

Research output: Contribution to journalArticle

Recovery
Subspace
Gradient methods
Ad hoc networks
Linear Convergence