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04/22/2023
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders
Synthetic data has been hailed as the silver bullet for privacy preservi...
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09/22/2022
One-Shot Messaging at Any Load Through Random Sub-Channeling in OFDM
Compressive Sensing has well boosted massive random access protocols ove...
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11/12/2021
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
The Jensen inequality is a widely used tool in a multitude of fields, su...
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11/05/2021
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
The blind deconvolution problem amounts to reconstructing both a signal ...
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05/21/2021
Measure Concentration on the OFDM-based Random Access Channel
It is well known that CS can boost massive random access protocols. Usua...
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05/07/2021
Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access
A new family of operators, coined hierarchical measurement operators, is...
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04/06/2021
Hierarchical compressed sensing
Compressed sensing is a paradigm within signal processing that provides ...
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05/20/2020
Hierarchical sparse recovery from hierarchically structured measurements
A new class of measurement operators for structured compressed sensing p...
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01/29/2018
