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 submitted to the sepcial issue “Machine Learning, Signal, and/or Image Processing Methods to Enhance Environmental Sensors” of the journal Sensors,, November 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, Elsa Dupraz, François Leduc-Primeau, Frederic Guilloud, Energy-Efficient protograph-based LDPC codes, 7th Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, October 2019
Elsa Dupraz, Lav Varshney, Energy-Efficient Machine Learning Algorithms, 7th Conference on Information Theory and Complex Systems (TINKOS), Belgrade, Serbia, October 2019
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
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