Bubacarr Bah

Q: What Schools Are Affiliated With Bubacarr Bah

Bubacarr Bah is affiliated with the following schools: Stellenbosch University, University of Oxford, University of Edinburgh

Bubacarr Bah's AcademicInfluence.com Rankings

Bubacarr Bah

Mathematics

#8083

World Rank

#10979

Historical Rank

Applied Mathematics

#465

World Rank

#497

Historical Rank

Measure Theory

#5732

World Rank

#6839

Historical Rank

mathematics Degrees

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Mathematics

Why Is Bubacarr Bah Influential?

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According to Wikipedia, Bubacarr Bah is a Gambian mathematician and chair of Data Science at the African Institute for Mathematical Sciences . He is an assistant professor at Stellenbosch University and a member of the Google advanced technology external advisory council.

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Bubacarr Bah's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Improved Bounds on Restricted Isometry Constants for Gaussian Matrices (2010) (85)
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers (2019) (36)
Vanishingly Sparse Matrices and Expander Graphs, With Application to Compressed Sensing (2012) (32)
Diffusion Maps: Analysis and Applications (2008) (22)
Bounds of restricted isometry constants in extreme asymptotics: formulae for Gaussian matrices (2012) (19)
Model-based Sketching and Recovery with Expanders (2014) (18)
The Sample Complexity of Weighted Sparse Approximation (2015) (16)
Energy-aware adaptive bi-Lipschitz embeddings (2013) (13)
Practical High-Throughput, Non-Adaptive and Noise-Robust SARS-CoV-2 Testing (2020) (11)
Metric learning with rank and sparsity constraints (2014) (8)
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions (2020) (7)
Discrete optimization methods for group model selection in compressed sensing (2019) (6)
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness (2019) (5)
Efficient Noise-Blind 𝓁1-Regression of Nonnegative Compressible Signals (2020) (5)
On the Construction of Sparse Matrices From Expander Graphs (2018) (4)
Efficient Tuning-Free l 1-Regression of Nonnegative Compressible Signals (2020) (3)
On Error Correction Neural Networks for Economic Forecasting (2020) (3)
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks (2021) (2)
Restricted isometry constants in compressed sensing (2012) (2)
Convex Block-sparse Linear Regression with Expanders - Provably (2016) (1)
Designing Data-Driven Learning Algorithms: A Necessity to Ensure Effective Post-Genomic Medicine and Biomedical Research (2019) (1)
On construction and analysis of sparse random matrices and expander graphs with applications to compressed sensing (2013) (1)
Improving the Reliability of Pooled Testing with Combinatorial Decoding and Compressed Sensing (2021) (1)
Weighted sparse recovery with expanders (2016) (1)
Using neural networks to identify individual animals from photographs (2019) (1)
Towards the Localisation of Lesions in Diabetic Retinopathy (2020) (0)
Sparse Activations for Interpretable Disease Grading (2023) (0)
Robust and efficient identification of neural networks (2019) (0)
COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network (2023) (0)
Sparse Group Model Selection (2019) (0)
Sparse matrices for weighted sparse recovery (2016) (0)
A physics-informed neural network framework for modeling obstacle-related equations (2023) (0)
Improving the Predictive Power of Historical Consistent Neural Networks (2022) (0)
Low Rank Matrix Approximation for Imputing Missing Categorical Data (2021) (0)
Editorial: Recent Developments in Signal Approximation and Reconstruction (2020) (0)
Improved Restricted Isometry Constant Bounds for Gaussian Matrices (2010) (0)
Improved bounds of condition numbers of Gaussian submatrices and their applications (2016) (0)

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Other Resources About Bubacarr Bah

en.wikipedia.org

What Schools Are Affiliated With Bubacarr Bah?

Bubacarr Bah is affiliated with the following schools:

Bubacarr Bah's Academic­Influence.com Rankings

Why Is Bubacarr Bah Influential?

Bubacarr Bah's Published Works

Published Works

Other Resources About Bubacarr Bah

What Schools Are Affiliated With Bubacarr Bah?

Bubacarr Bah's AcademicInfluence.com Rankings