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cs.LG2025
Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems
Jeremy Morlier, Mathieu Leonardon, Vincent Gripon
Model compression is a critical area of research in deep learning, in particular in vision, driven by the need to lighten models memory or computational footprints. While numerous…
cs.LG2021
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes
Mathieu Léonardon, Vincent Gripon
Polar codes can theoretically achieve very competitive Frame Error Rates. In practice, their performance may depend on the chosen decoding procedure, as well as other parameters of…