Invertibility of convolutional generative networks from partial measurements U Ayaz, F Ma, S Karaman Advances in Neural Information Processing Systems, 9628-9637, 2018 | 90 | 2018 |
Sparse sensing for resource-constrained depth reconstruction F Ma, L Carlone, U Ayaz, S Karaman 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 36 | 2016 |
Uniform recovery of fusion frame structured sparse signals U Ayaz, S Dirksen, H Rauhut Applied and Computational Harmonic Analysis 41 (2), 341-361, 2016 | 34 | 2016 |
Sparse depth sensing for resource-constrained robots F Ma, L Carlone, U Ayaz, S Karaman The International Journal of Robotics Research 38 (8), 935-980, 2019 | 30 | 2019 |
Nonuniform sparse recovery with subgaussian matrices U Ayaz, H Rauhut arXiv preprint arXiv:1007.2354, 2010 | 28 | 2010 |
Sparse recovery of fusion frame structured signals U Ayaz arXiv preprint arXiv:1804.02079, 2018 | 4 | 2018 |
Sparse recovery with fusion frames via RIP U Ayaz, H Rauhut Proc. SampTA, 2013 | 3 | 2013 |
Sparse Recovery with Fusion Frames U Ayaz Universitäts-und Landesbibliothek Bonn, 2014 | 2 | 2014 |
The restricted isometry property for fusion frame structured sparse signals U Ayaz, H Rauhut manuscript, 2013 | 2 | 2013 |
Sigma-delta quantization and sturmian words U Ayaz University of British Columbia, 2009 | 2 | 2009 |
Supplementary materials-invertibility of convolutional generative networks from partial measurements F Ma, U Ayaz, S Karaman NIPS, 2018 | 1 | 2018 |
Nonuniform Sparse Recovery with Fusion Frames U Ayaz, H Rauhut SPARS 2013: Signal Processing with Adaptive Sparse Structured Representations, 2013 | | 2013 |
Uniform Recovery with Fusion Frames via Null Space Property U Ayaz preparation, 0 | | |