Improved bounds on restricted isometry constants for Gaussian matrices B Bah, J Tanner SIAM Journal on Matrix Analysis and Applications 31 (5), 2882-2898, 2010 | 96 | 2010 |
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers B Bah, H Rauhut, U Terstiege, M Westdickenberg Information and Inference: A Journal of the IMA 11 (1), 307-353, 2022 | 58 | 2022 |
Vanishingly sparse matrices and expander graphs, with application to compressed sensing B Bah, J Tanner IEEE transactions on information theory 59 (11), 7491-7508, 2013 | 31 | 2013 |
Diffusion maps: analysis and applications B Bah University of Oxford; Mathematical Institute, 2008 | 28 | 2008 |
Bounds of restricted isometry constants in extreme asymptotics: formulae for Gaussian matrices B Bah, J Tanner Linear Algebra and its Applications 441, 88-109, 2014 | 21 | 2014 |
Model-based sketching and recovery with expanders B Bah, L Baldassarre, V Cevher Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014 | 21 | 2014 |
Practical high-throughput, non-adaptive and noise-robust SARS-CoV-2 testing HB Petersen, B Bah, P Jung arXiv preprint arXiv:2007.09171, 3, 2020 | 20 | 2020 |
Energy-aware adaptive bi-Lipschitz embeddings B Bah, A Sadeghian, V Cevher arXiv preprint arXiv:1307.3457, 2013 | 19 | 2013 |
The sample complexity of weighted sparse approximation B Bah, R Ward IEEE Transactions on Signal Processing 64 (12), 3145-3155, 2016 | 18 | 2016 |
An integer programming approach to deep neural networks with binary activation functions B Bah, J Kurtz arXiv preprint arXiv:2007.03326, 2020 | 8 | 2020 |
On error correction neural networks for economic forecasting M Mvubu, E Kabuga, C Plitz, B Bah, R Becker, HG Zimmermann 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | 8 | 2020 |
Metric learning with rank and sparsity constraints B Bah, S Becker, V Cevher, B Gözcü 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 8 | 2014 |
Efficient Tuning-Free l 1-Regression of Nonnegative Compressible Signals HB Petersen, B Bah, P Jung Frontiers in Applied Mathematics and Statistics 7, 615573, 2021 | 7 | 2021 |
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness E Muller, JP Shock, A Bender, J Kleeberger, T Högen, M Rosenfelder, ... Computers in Biology and Medicine 107, 145-152, 2019 | 7 | 2019 |
On the construction of sparse matrices from expander graphs B Bah, J Tanner Frontiers in Applied Mathematics and Statistics 4, 39, 2018 | 7 | 2018 |
Efficient Noise-Blind -Regression of Nonnegative Compressible Signals HB Petersen, B Bah, P Jung | 6 | 2020 |
Discrete optimization methods for group model selection in compressed sensing B Bah, J Kurtz, O Schaudt Mathematical Programming 190, 171-220, 2021 | 5 | 2021 |
Efficient and robust mixed-integer optimization methods for training binarized deep neural networks J Kurtz, B Bah arXiv preprint arXiv:2110.11382, 2021 | 5 | 2021 |
Improving the reliability of pooled testing with combinatorial decoding and compressed sensing HB Petersen, S Agarwal, P Jung, B Bah 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2021 | 5 | 2021 |
Restricted isometry property (RIP) B Bah Graduate School of Mathematics, University of Edinburgh, First-Year Report, 2009 | 4 | 2009 |