Preprints

Mohamed Yaoumi, Jeremy Nadal, Elsa Dupraz, Frederic Guilloud, Francois Leduc-Primeau, Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders, submitted to IEEE Communication Letters, August 2021, available on ArXiv

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, submitted at IEEE Transactions on Signal Processing, July 2021, available on ArXiv

Journal papers

Elsa Dupraz, Mohamed Yaoumi, Self-Corrected Belief-Propagation Decoder for Source Coding with Unknown Source Statistics, accepted at  IEEE Communication Letters, April 2021

Elsa Dupraz, François Leduc-Primeau, Noisy Density Evolution With Asymmetric Deviation Models, IEEE Transactions on Communications, Volume 9, Issue 3, March 2021

Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frederic Guilloud, Energy Optimization of Quantized Min-Sum Decoders for Protograph-Based LDPC Codes, Annals of Telecommunications, September 2020

Conference papers

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

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

Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, François Leduc-Primeau, Improving the Energy-Efficiency of a Kalman Filter using Unreliable Memories, accepted at ICASSP,  2021

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

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

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, August 2019

Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frederic Guilloud, Optimisation de la Consommation d’Energie pour des Codes LDPC Construits à Partir de Protographes, accepted at Colloque GRETSI, September 2019

Elsa Dupraz, Lav R. Varshney, Binary Recursive Estimation on Noisy Hardware, accepted at International Symposium on Information Theory (ISIT), Paris, France, July 2019

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

PhD dissertation

Mohamed Yaoumi, Energy modeling and optimization of protograph-based LDPC codes, PhD thesis defended in December 2020

Invited Talks

Mohamed Yaoumi, Energy-Efficient Protograph-Based LDPC codes, Tinkos, October 2019

Elsa Dupraz, Energy-Efficient Machine Learning Algorithms, Tinkos, October 2019

Elsa Dupraz, Design of Energy-Efficient LDPC Codes and Decoders, European School of Information Theory, April 2019

François Leduc-Primeau, LDPC code and architecture co-design for low-energy decoding, Information Theory and Applications Workshop, February 2019