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Bubacarr Bah
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2020 – today
- 2024
- [j9]Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts:
Recent methodological advances in federated learning for healthcare. Patterns 5(6): 101006 (2024) - [i20]Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa M. Koch:
This actually looks like that: Proto-BagNets for local and global interpretability-by-design. CoRR abs/2406.15168 (2024) - 2023
- [j8]Daniel Nickelsen, Bubacarr Bah:
Improved identification accuracy in equation learning via comprehensive R2-elimination and Bayesian model selection. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch:
Sparse Activations for Interpretable Disease Grading. MIDL 2023: 1-17 - [i19]Hamid El Bahja, Jan Christian Hauffen, Peter Jung, Bubacarr Bah, Issa Karambal:
A physics-informed neural network framework for modeling obstacle-related equations. CoRR abs/2304.03552 (2023) - [i18]Daniel Nickelsen, Bubacarr Bah:
Improved identification accuracy in equation learning via comprehensive R2-elimination and Bayesian model selection. CoRR abs/2311.13265 (2023) - 2021
- [j7]Bubacarr Bah, Jannis Kurtz, Oliver Schaudt:
Discrete optimization methods for group model selection in compressed sensing. Math. Program. 190(1): 171-220 (2021) - [c7]Hendrik Bernd Petersen, Shankar Agarwal, Peter Jung, Bubacarr Bah:
Improving the Reliability of Pooled Testing with Combinatorial Decoding and Compressed Sensing. CISS 2021: 1-5 - [c6]Joseph Muthui Wacira, Dinna Ranirina, Bubacarr Bah:
Low Rank Matrix Approximation for Imputing Missing Categorical Data. SACAIR 2021: 242-256 - [c5]Samuel Ofosu Mensah, Bubacarr Bah, Willie Brink:
Towards the Localisation of Lesions in Diabetic Retinopathy. SAI (3) 2021: 100-107 - [i17]Jannis Kurtz, Bubacarr Bah:
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks. CoRR abs/2110.11382 (2021) - 2020
- [j6]Bubacarr Bah, Jean-Luc Bouchot:
Editorial: Recent Developments in Signal Approximation and Reconstruction. Frontiers Appl. Math. Stat. 6: 6 (2020) - [c4]Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann:
On Error Correction Neural Networks for Economic Forecasting. FUSION 2020: 1-8 - [i16]Hendrik Bernd Petersen, Bubacarr Bah, Peter Jung:
Efficient Noise-Blind 𝓁1-Regression of Nonnegative Compressible Signals. CoRR abs/2003.13092 (2020) - [i15]Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann:
On Error Correction Neural Networks for Economic Forecasting. CoRR abs/2004.05277 (2020) - [i14]Bubacarr Bah, Jannis Kurtz:
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions. CoRR abs/2007.03326 (2020) - [i13]Hendrik Bernd Petersen, Bubacarr Bah, Peter Jung:
Practical High-Throughput, Non-Adaptive and Noise-Robust SARS-CoV-2 Testing. CoRR abs/2007.09171 (2020) - [i12]Samuel Ofosu Mensah, Bubacarr Bah, Willie Brink:
Towards the Localisation of Lesions in Diabetic Retinopathy. CoRR abs/2012.11432 (2020)
2010 – 2019
- 2019
- [j5]Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon:
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness. Comput. Biol. Medicine 107: 145-152 (2019) - [i11]Bubacarr Bah, Jannis Kurtz, Oliver Schaudt:
Discrete Optimization Methods for Group Model Selection in Compressed Sensing. CoRR abs/1904.01542 (2019) - [i10]Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg:
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers. CoRR abs/1910.05505 (2019) - 2018
- [j4]Bubacarr Bah, Jared Tanner:
On the Construction of Sparse Matrices From Expander Graphs. Frontiers Appl. Math. Stat. 4: 39 (2018) - [i9]Bubacarr Bah, Jared Tanner:
On the construction of sparse matrices from expander graphs. CoRR abs/1804.09212 (2018) - 2016
- [j3]Bubacarr Bah, Rachel A. Ward:
The Sample Complexity of Weighted Sparse Approximation. IEEE Trans. Signal Process. 64(12): 3145-3155 (2016) - [c3]Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher:
Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS 2016: 19-27 - [i8]Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher:
Convex block-sparse linear regression with expanders - provably. CoRR abs/1603.06313 (2016) - [i7]Bubacarr Bah:
Weighted sparse recovery with expanders. CoRR abs/1604.01067 (2016) - 2015
- [i6]Bubacarr Bah, Rachel A. Ward:
The sample complexity of weighted sparse approximation. CoRR abs/1507.06736 (2015) - 2014
- [c2]Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu:
Metric learning with rank and sparsity constraints. ICASSP 2014: 21-25 - [c1]Bubacarr Bah, Luca Baldassarre, Volkan Cevher:
Model-based Sketching and Recovery with Expanders. SODA 2014: 1529-1543 - 2013
- [j2]Bubacarr Bah, Jared Tanner:
Vanishingly Sparse Matrices and Expander Graphs, With Application to Compressed Sensing. IEEE Trans. Inf. Theory 59(11): 7491-7508 (2013) - [i5]Bubacarr Bah, Ali Sadeghian, Volkan Cevher:
Energy-aware adaptive bi-Lipschitz embeddings. CoRR abs/1307.3457 (2013) - [i4]Bubacarr Bah, Jared Tanner:
On construction and analysis of sparse random matrices and expander graphs with applications to compressed sensing. CoRR abs/1307.6477 (2013) - 2012
- [i3]Bubacarr Bah, Jared Tanner:
Vanishingly Sparse Matrices and Expander Graphs, with application to compressed sensing. CoRR abs/1207.3094 (2012) - [i2]Bubacarr Bah, Jared Tanner:
Bounds of restricted isometry constants in extreme asymptotics: formulae for Gaussian matrices. CoRR abs/1207.4883 (2012) - 2010
- [j1]Bubacarr Bah, Jared Tanner:
Improved Bounds on Restricted Isometry Constants for Gaussian Matrices. SIAM J. Matrix Anal. Appl. 31(5): 2882-2898 (2010) - [i1]Bubacarr Bah, Jared Tanner:
Improved Bounds on Restricted Isometry Constants for Gaussian Matrices. CoRR abs/1003.3299 (2010)
Coauthor Index
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last updated on 2024-08-05 20:16 CEST by the dblp team
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