Publications

Journal Papers

[22] Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz,  Abdeldjalil Aïssa-El-Bey, Yvon Savaria, and François Leduc-Primeau, Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks, accepted at IEEE Transactions on Signal Processing, February 2024

[21] Tad Matsumoto, Amin Zribi, Reza Asvadi, Elsa Dupraz, Wensheng Lin, Two-Stage Successive Wyner-Ziv Lossy Forward Relaying for Lossy Communications: Rate-Distortion and Outage Probability Analyses, accepted at IEEE Transactions on Vehicular Technology, February 2024

[20] Elsa Dupraz, François Leduc-Primeau, Kui Cai, Lara Dolecek, Turning to Information Theory to Bring In-Memory Computing Into Practice, accepted at IEEE BITS the Information Theory Magazine, special issue on Data Storage, October 2023

[19] Belaïd Hamoum, Elsa Dupraz, Channel Model and Decoder with Memory for DNA Data Storage with Nanopore Sequencing, accepted at IEEE Access, May 2023

[18] Alireza Tasdighi, Elsa Dupraz, An End-to-End Scheme for Learning over Compressed Data Transmitted Through a Noisy Channel, in IEEE Access, vol. 11, pp. 8254 – 8267, January 2023

[17] Khaled Alhaj Ali, Amer Baghdadi, Elsa Dupraz, Mathieu Léonardon, Mostafa Rizk and Jean-Philippe Diguet, MOL-based In-Memory Computing of Binary Neural Networks, in IEEE Transactions on Very Large Scale Integration Systems, vol. 30, no. 7, pp. 869-880, July 2022

[16] Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, and François Leduc-Primeau, Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering, Special issue “Machine Learning, Signal, and/or Image Processing Methods to Enhance Environmental Sensors” of MDPI journal Sensors, January 2022

[15] Elsa Dupraz, Mohamed Yaoumi, Self-Corrected Belief-Propagation Decoder for Source Coding with Unknown Source Statistics, in  IEEE Communication Letters, vol. 25, no. 7, pp. 2133-2137, July 2021

[14] Fangping Ye, Navid Mahmoudian Bidgoli, Elsa Dupraz, Aline Roumy, Karine Amis, Thomas Maugey, Bit-Plane Coding in Extractable Source Coding: optimality, modeling, and application to 360° data, in IEEE Communication Letters, vol. 25, no. 5, pp. 1412-1416, May 2021

[13] Elsa Dupraz, François Leduc-Primeau, Noisy Density Evolution With Asymmetric Deviation Models, in IEEE Transactions on Communications, vol. 69, no. 3, pp. 1403-1416, March 2021

[12] Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frederic Guilloud, Energy Optimization of Quantized Min-Sum Decoders for Protograph-Based LDPC Codes, accepted at Annals of Telecommunications, August 2020

[11] Mai Quyen Pham, Aline Roumy, Thomas Maugey, Elsa Dupraz, Michel Kieffer, Optimal Reference Selection for Random Access in Predictive Coding Schemes, int IEEE Transactions on Communications, vol. 68, no. 9, pp. 5819-5833, Sept. 2020

[10] Thomas Maugey, Aline Roumy, Elsa Dupraz, Michel Kieffer, Incremental coding for extractable compression in the context of Massive Random Access, in IEEE Transactions on Signal and Information Processing over Networks, vol. 6, no. 1, pp. 251-260, March 2020

[9] Marwa Ben Abdessalem, Amin Zribi, Tadashi Matsumoto, Elsa Dupraz, Ammar Bouallègue, LDPC-based Joint Source Channel Coding and Decoding Strategies for single relay cooperative communications, in Elsevier Physical Communication, vol. 38, February 2020

[8] Elsa Dupraz, Thomas Maugey, Aline Roumy, Michel Kieffer, Rate-storage regions for Extractable Source Coding with side information, in Elsevier Physical Communication, Special Issue on Coding and Information Theory for Emerging Communication Systems, December 2019

[7] Fangping Ye, Elsa Dupraz, Zeina Mheich, Karine Amis, Optimized Rate-Adaptive Protograph-Based LDPC Codes for Source Coding with Side Information, in IEEE Transactions on Communications, vol. 67, no. 6, pp. 3879-3889, June 2019

[6] Elsa Dupraz, David Declercq, Bane Vasic, Asymptotic Error Probability of the Gallager B Decoder under Timing Errors, IEEE Communications Letters, vol 21, no 4, 698-701, January 2017

[5] Elsa Dupraz, David Declercq, Bane Vasic, Valentin Savin, Analysis and Design of Finite Alphabet Iterative Decoders Robust to Faulty Hardware, IEEE Transactions on Communications, vol.63, no 8, pp.2797 – 2809,  August 2015

[4] Christiane L. Kameni Ngassa, Valentin Savin, Elsa Dupraz, David Declercq, Density Evolution and Functional Threshold for the Noisy Min-Sum Decoder, IEEE Transactions on Communications, vol.63, no 5, pp.1497 – 1509, May 2015

[3] Elsa Dupraz, Valentin Savin, Michel Kieffer, Density Evolution for the Design of Non-Binary Low Density Parity Check Codes for Slepian-Wolf Coding, IEEE Transactions on Communications, vol.63, no 1, pp.25–36, January 2015

[2] Francesca Bassi, Aurelia Fraysse, Elsa Dupraz, Michel Kieffer, Rate-distortion bounds for Wyner-Ziv coding with Gaussian scale mixture correlation noise,  IEEE Transactions on Information Theory, Vol 60, Issue 12, pp 7540 – 7546, December 2014

[1] Elsa Dupraz, Aline Roumy, Michel Kieffer, Source coding with side information at the decoder and uncertain knowledge of the correlation, IEEE Transactions on Communications, Vol 62, Issue 1, pp 269 – 279,  January 2014

 

International conference papers

[47] Elsa Dupraz, Ismaila Salihou Adamou, Reza Asvadi, Tadashi Matsumoto, Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing, accepted at the International Symposium on Information Theory (ISIT) 2024

[46] 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

[45] Ismaila Salihou Adamou, Elsa Dupraz, Tad Matsumoto, An Information-Spectrum Approach to Distributed Hypothesis Testing for General Sources, accepted at the International Zurich Seminar on Information and Communication (IZS) 2024

[44] Ismaila Salihou Adamou, Elsa Dupraz, Zribi Amin, Tad Matsumoto, Error-Exponent of Distributed Hypothesis Testing for Gilbert-Elliot Source Models, accepted at International Symposium on Topics in Coding (ISTC) 2023

[43] Jeremy Nadal, Mohamed Yaoumi, Elsa Dupraz, Frederic Guilloud, François Leduc-Primeau, Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders, accepted at International Symposium on Topics in Coding (ISTC) 2023

[42] Jiahui Wei, Elsa Dupraz, Philippe Mary, Asymptotic and non-Asymptotic Rate-Loss Bounds for Linear Regression with Side Information, accepted at the 31st European Signal Processing Conference (EUSIPCO), September 2023

[41] Belaïd Hamoum, Aref Ezzeddine, Elsa Dupraz, Synchronization Algorithms from High-Rate LDPC Codes for DNA Data Storage, accepted at the International Conference on Digital Signal Processing (DSP), June 2023

[40] Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, and François Leduc-Primeau, MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators, accepted at IEEE International Conference on artificial intelligent circuits and systems (AICAS), June 2022

[39] Belaid Hamoum, Elsa Dupraz, Laura Conde-Canencia, A DNA Data Storage Channel Model Trained on Genomic Data with Nanopore Sequencing, accepted at the 1st International Conference on Data Storage in Molecular Media (DSMM2022), February 2022

[38] Elsa Dupraz, Lav R. Varshney, and François Leduc-Primeau, Power-Efficient Deep Neural Networks with Noisy Memristor Implementation, accepted at the Information Theory Workshop (ITW), Kanazawa, Japan, 2021

[37] Adomas Baliuka, Elsa Dupraz, Harald Weinfurter, Open Source LDPC-based error correction, accepted for poster presentation at QCrypt 2021, Amsterdam, The Netherlands, 2021

[36] Jérémy Nadal, Simon Brown, Elsa Dupraz, and François Leduc-Primeau, Towards an Accurate High-Level Energy Model for LDPC Decoders, invited paper at the International Symposium on Topics in Coding (ISTC), Montreal, Canada, 2021

[35] Belaid Hamoum, Elsa Dupraz, Laura Conde-Canencia, Dominique Lavenier, Channel Model with Memory for DNA Data Storage with Nanopore Sequencing, accepted at the International Symposium on Topics in Coding (ISTC), Montreal, Canada, 2021

[34] Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, François Leduc-Primeau, Improving the Energy-Efficiency of a Kalman Filter using Unreliable Memories, International Conference on Acoustics, Speech and Signal Processing (ICASSP),  2021

[33] Jérémy Nadal, Mickaël Fiorentino, Elsa Dupraz, François Leduc-Primeau, A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder, accepted at IEEE International Newcas conference, Montreal, Canada, 2020

[32] Elsa Dupraz, Lav R. Varshney, Noisy In-Memory Recursive Computation with Memristor Crossbars, accepted at International Symposium on Information Theory (ISIT), Los Angeles, USA, 2020

[31] Mohamed Yaoumi, François Leduc-Primeau, Elsa Dupraz, Frederic Guilloud, Optimization of Protograph LDPC Codes based on High-Level Energy Models, accepted at 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019

[30] Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frederic Guilloud, Energy-Efficient protograph-based LDPC codes, Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, October 2019

[29] Elsa Dupraz, Lav Varshney, Energy-Efficient Machine Learning Algorithms, Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, 2019

[28] Elsa Dupraz, Lav R. Varshney, Binary Recursive Estimation on Noisy Hardware, International Symposium on Information Theory (ISIT), Paris, France, 2019

[27] Elsa Dupraz, François Leduc-Primeau, François Gagnon, High-Throughput LDPC Decoding Achieved by Code and Architecture Co-Design, 10th International Symposium on Turbo Codes and Iterative Information Processing (ISTC), Hong Kong, December 2018

[26] Nicolas Grelier, Carlos Eduardo Rosar Kos Lassance, Elsa Dupraz, Vincent Gripon, Graph-Projected Signal Processing, IEEE International Conference on Signal and Information Processing (GlobalSIP), Anaheim, USA, November 2018

[25] Fangping Ye, Zeina Mheich, Elsa Dupraz, Karine Amis, Optimized Short-Length Rate-Adaptive LDPC Codes for Slepian-Wolf Source Coding, International Conference on Telecommunication (ICT), Saint-Malo, France, June 2018

[24] Mael Bompais, Hamza Ameur, Dominique Pastor, Elsa Dupraz, The p-value as a New Similarity Function for Spectral Clustering in Sensor Networks,  Statistical Signal Processing Workshop (SSP), Freiburg, Germany, June 2018

[23] Nicolas Grelier, Carlos Eduardo Rosar Kos Lassance, Elsa Dupraz, Vincent Gripon, Graph-Projected Signal Processing, 3rd Graph Signal Processing Workshop (GSP), Lausanne, Switzerland, June 2018

[22] Fangping Ye, Elsa Dupraz, Karine Amis, Rate-adaptive LDPC code construction for Free-Viewpoint Television, Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, June 2018

[21] Elsa Dupraz, Decentralized clustering algorithm over compressed data, Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, June 2018

[20] Elsa Dupraz, Dominique Pastor, François-Xavier Socheleau,  A Statistical Signal Processing Approach to Clustering over Compressed Data, International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April 2018

[19] Zeina Mheich, Elsa Dupraz, Short Length Non-binary Rate-Adaptive LDPC Codes for Slepian-Wolf Source Coding, Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, April 2018

[18] Elsa Dupraz, K-means Algorithm over Compressed Binary Data, Data Compression Conference (DCC), Utah, United States, March 2018

[17] Elsa Dupraz, Thomas Maugey, Aline Roumy, Michel Kieffer, Rate-Distortion Performance of Sequential Massive Random Access to Gaussian Sources with Memory, Data Compression Conference (DCC), Utah, United States, March 2018

[15] Elsa Dupraz, Bane Vasic, David Declercq, Performance of Taylor-Kuznetsov memories under timing errors, International Conference on Communications (ICC), Paris, France, May 2017

[14] Elsa Dupraz, Distributed K-means over compressed binary data, Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, October 2016

[13] Satish Kumar Grandhi, Elsa Dupraz, Christian Spagnol, Valentin Savin, Emanuel Popovici, CPE: Codeword Prediction Encoder, European Test Symposium, Amsterdam, Netherlands, May 2016

[12] Elsa Dupraz, Valentin Savin, Satish Kumar Grandhi, Emanuel Popovici, David Declercq, Practical LDPC Encoders Robust to Hardware Noise,  International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016

[11] Elsa Dupraz, David Declercq, Evaluation of the Robustness of LDPC Encoders to Hardware Noise, BlackSeaCom, Constanta, Romania, May 2015, Invited Paper

[10] Elsa Dupraz, David Declercq, Bane Vasic, Analysis of Taylor-Kuznetsov Memory using One-Step Majority Logic Decoder, Information Theory and Applications Workshop (ITA), San Diego, CA, US, February 2015, Invited paper

[9] Velimir Ilic, Elsa Dupraz, David Declercq, Bane Vasic, Uniformly reweighted APP Decoder for memory efficient decoding of LDPC Codes, International Conference on Communication, Control, and Computing (Allerton) 2014:pp. 1228-1232

[8] V. Ilic. , E. Dupraz, D. Declercq, B. Vasic, Complexity and throughput analysis of memory efficient APP decoders for LDPC codes, ICT Forum, Nis, Serbia,  October 14-17 2014, Invited paper

[7] V. Ilic. , E. Dupraz, D. Declercq, B. Vasic, Memory Efficient APP Decoding of LDPC Codes, Conference on Information Theory and Complex Systems (TINKOS 2014), Nis, Serbia, June 16-17 2014

[6] Elsa Dupraz, David Declercq, Bane Vasic, Valentin Savin, Finite Alphabet Iterative Decoders Robust to Faulty Hardware: Analysis and Selection, 8th Int. Symp. on Turbo Codes and Iterative Inform. Process. (ISTC) 2014:pp. 107-111 , Bremen, Germany

[5] Elsa Dupraz, Aline Roumy, Michel Kieffer,  Universal Wyner-Ziv coding for Gaussian sources, ICASSP 2013 : pp. 5132-5135, Vancouver, Canada

[4] Elsa Dupraz, Aline Roumy, Michel Kieffer, Practical coding scheme for universal source coding with side information at the decoder., Oral presentation at DCC 2013 : pp. 401-410, Snowird, Utah, United States [Slides]

[3] Elsa Dupraz, Aline Roumy, Michel Kieffer, Source coding with side information at the decoder: Models with uncertainty, performance bounds, and practical coding schemes, ISITA 2012 : pp. 170-174, Honolulu, Hawaï, United States  [Slides]

[2] Elsa Dupraz, Francesca Bassi, Thomas Rodet, Michel Kieffer, Distributed coding of sources with bursty correlation., ICASSP 2012 : pp. 2973-2976, Kyoto, Japan

[1] Elsa Dupraz, Gael Richard, Robust frequency-based Audio Fingerprinting., ICASSP 2010 : pp. 281-284, Dallas, Texas, United States

 

National conference papers

[7] Ismaila Salihou-Adamou Elsa Dupraz, Tad Matsumoto, Test d’hypothèses distribué pour des modèles de sources générales non-iid, non-stationnaires, et non-ergodiques, accepted at GRETSI 2023

[6] Jiahui WEI, Elsa Dupraz, Philippe Mary, Régions atteignables pour la régression linéaire sur données compressées avec information adjacente, accepted at GRETSI 2023

[5] Fangping Ye, Elsa Dupraz, Zeina Mheich, Karine Amis. Construction de Codes LDPC Compatibles en Rendement pour le Codage de Sources avec Information Adjacente, Actes du Gretsi 2019, Lille, France

[4] Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frédéric Guilloud. Optimisation de la Consommation d’Energie pour des Codes LDPC Construits à Partir de Protographes, Actes du Gretsi 2019, Lille, France

[3] Elsa Dupraz, David Declercq, Bane Vasic, Stabilité des Mémoires de Taylor-Kuznetsov construites à partir d’un Décodeur LDPC de type Gallager B. , Actes du Gretsi 2015, Lyon, France

[2] Elsa Dupraz, Aline Roumy, Michel Kieffer, Codage distribué dans des réseaux de capteurs avec connaissance incertaine des corrélations. , Actes du Gretsi 2013, Brest, France

[1] Elsa Dupraz, Aline Roumy, Michel Kieffer, Codage de sources avec information adjacente et connaissance imparfaite de la correlation : le problème des cadrans., Actes du Gretsi 2013, Brest, France

 

Thesis

HDR (2023), Vers de nouvelles applications du codage de canal: [Dissertation] [Slides]
PhD (2013), Codage de sources avec information adjacente et connaissance des corrélations : [Dissertation] [Slides]