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Marc Antonini

3 accepted papers

2024

Implicit Neural Multiple Description for DNA-Based Data Storage

ICASSP 2024accepted

DNA exhibits remarkable potential as a data storage solution due to its impressive storage density and long-term stability, stemming from its inherent biomolecular structure. However, developing this novel medium comes with its own set of challenges, particularly in addressing errors arising from st…

Cited by 0SourceScholar
2023

Learning Sparse auto-Encoders for Green AI image coding

ICASSP 2023accepted

Recently, convolutional auto-encoders (CAE) were introduced for image coding. They achieved performance improvements over the state-of-the-art JPEG2000 method. However, these performances were obtained using massive CAEs featuring a large number of parameters and whose training required heavy comput…

Cited by 0SourceScholar
2020

Storing Digital Data Into DNA: A Comparative Study Of Quaternary Code Construction

ICASSP 2020accepted

The exponential increase of digital data that is being generated every year along with the capacity and durability limits of conventional storage devices are raising one of the greatest challenges for the field of data storage. The use of DNA for digital data archiving is a very promising alternativ…

Cited by 0SourceScholar