2024
Jiahui Wei, Elsa Dupraz, Philippe Mary, Practical Coding Schemes based on LDPC Codes for Distributed Parametric Regression, accepted at the Information Theory Workshop (ITW) 2024
Ahcen Aliouat, Elsa Dupraz, Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes, accepted at EUSIPCO 2024
Jiahui Wei, Philippe Mary, Elsa Dupraz, Rate-Loss Regions for Polynomial Regression with Side Information, accepted at the International Zurich Seminar on Information and Communication (IZS) 2024
2023
Rémi Piau, Thomas Maugey, Aline Roumy, Predicting CNN learning accuracy using chaos measurement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023, Rhodes, Greece.
Jiahui WEI, Elsa Dupraz, Philippe Mary, Régions atteignables pour la régression linéaire sur données compressées avec information adjacente, accepted at GRETSI 2023
Rémi Piau, Thomas Maugey, Aline Roumy, Prédiction de la précision d’apprentissage des réseaux de neurones convolutifs par mesure du chaos, accepted at GRETSI 2023
Jiahui Wei, Elsa Dupraz, Philippe Mary, Asymptotic and non-asymptotic rate-loss bounds for linear regression with side information, accepted at EUSIPCO 2023
Remi Piau, Aline Roumy, and Thomas Maugey, Learning on entropy coded images with CNN, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023, Rhodes, Greece.
Alireza Tasdighi and Elsa Dupraz, An End-to-End Scheme for Learning over Compressed Data Transmitted Through a Noisy Channel, IEEE Access, vol. 11, p. 8254-8267, 2023
