Ali Ahmed

Orcid: 0000-0002-5047-0604

Affiliations:
  • Information Technology University, Department of Electrical Engineering, Lahore, Pakistan
  • Massachusetts Institute of Technology, Department of Mathematics, Cambridge, MA, USA (former)
  • Brown University, Providence, RI, USA (2014)
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2013)


According to our database1, Ali Ahmed authored at least 37 papers between 2011 and 2023.

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Bibliography

2023
Sub-Nyquist sampling of sparse and correlated signals in array processing.
Digit. Signal Process., August, 2023

2022
Single-channel phaseless blind source separation.
Telecommun. Syst., 2022

2021
A Framework for Fault Diagnosis using Continuous Bayesian Network and Causal Inference.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Inverse Constrained Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Blind Deconvolution Using Modulated Inputs.
IEEE Trans. Signal Process., 2020

Bilinear Compressed Sensing Under Known Signs via Convex Programming.
IEEE Trans. Signal Process., 2020

Compressive Sampling of Ensembles of Correlated Signals.
IEEE Trans. Inf. Theory, 2020

Blind Image Deconvolution Using Deep Generative Priors.
IEEE Trans. Computational Imaging, 2020

Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors.
CoRR, 2020

Learning To Solve Differential Equations Across Initial Conditions.
CoRR, 2020

Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior.
CoRR, 2020

Invertible generative models for inverse problems: mitigating representation error and dataset bias.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming.
J. Mach. Learn. Res., 2019

Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing.
CoRR, 2019

Invertible generative models for inverse problems: mitigating representation error and dataset bias.
CoRR, 2019

Adaptive Ptych: Leveraging Image Adaptive Generative Priors for Subsampled Fourier Ptychography.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors.
Proceedings of the IEEE International Conference on Acoustics, 2019

Channel Protection Using Random Modulation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Blind Image Deconvolution using Pretrained Generative Priors.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
A Convex Approach to Blind MIMO Communications.
IEEE Wirel. Commun. Lett., 2018

Leveraging Diversity and Sparsity in Blind Deconvolution.
IEEE Trans. Inf. Theory, 2018

Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising.
CoRR, 2018

Robust Compressive Phase Retrieval via Deep Generative Priors.
CoRR, 2018

Solving Bilinear Inverse Problems using Deep Generative Priors.
CoRR, 2018

Blind Deconvolutional Phase Retrieval via Convex Programming.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A convex program for bilinear inversion of sparse vectors.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Compressive Acquisition and Least-Squares Reconstruction of Correlated Signals.
IEEE Signal Process. Lett., 2017

BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs.
CoRR, 2017

Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions.
Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017

Convex inversion of the entrywise product of real signals with known signs.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015
Compressive Multiplexing of Correlated Signals.
IEEE Trans. Inf. Theory, 2015

A convex approach to blind deconvolution with diverse inputs.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Blind Deconvolution Using Convex Programming.
IEEE Trans. Inf. Theory, 2014

2013
Cleaning up toxic waste: Removing nefarious contributions to recommendation systems.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressive sampling in array processing.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Compressive multiplexers for correlated signals.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Compressive sampling of correlated signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011


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