 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Dupraz, E., Leduc-Primeau, F., Cai, K., & Dolecek, L. (2023). Turning to Information Theory to Bring In-Memory Computing Into Practice. IEEE BITS the Information Theory Magazine, 13 pages. External link
Dupraz, E., & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416. External link
Dupraz, E., Varshney, L. R., & Leduc-Primeau, F. (2021, October). Power-Efficient Deep Neural Networks with Noisy Memristor Implementation [Paper]. IEEE Information Theory Workshop (ITW 2021), Kanazawa, Japan (5 pages). External link
Dupraz, E., Leduc-Primeau, F., & Gagnon, F. (2018, December). Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design [Paper]. International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), Hong Kong, Chine. External link
Kern, J., Henwood, S., Torcato Mordido, G. F., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (2024). Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Transactions on Signal Processing, 72, 1205-1218. External link
Kern, J., Henwood, S., Torcato Mordido, G. F., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (2022, June). MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators [Paper]. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era, Incheon, South Korea. External link
Kern, J., Dupraz, E., Aissa-El-bey, A., Varshney, L. R., & Leduc-Primeau, F. (2022). Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors, 22(3), 20 pages. External link
Kern, J., Dupraz, E., Aissa-El-Bey, A., & Leduc-Primeau, F. (2021, June). Improving the energy-efficiency of a Kalman filter using unreliable memories [Paper]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Ont.. External link
Nadal, J., Yaoumi, M., Dupraz, E., Guilloud, F., & Leduc-Primeau, F. (2023, September). Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders [Paper]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). External link
Nadal, J., Brown, S., Dupraz, E., & Leduc-Primeau, F. (2021, August). Towards an Accurate High-Level Energy Model for LDPC Decoders [Paper]. 11th International Symposium on Topics in Coding (ISTC 2021), Montréal, QC, Canada (6 pages). External link
Nadal, J., Fiorentino, M., Dupraz, E., & Leduc-Primeau, F. (2020, June). A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder [Paper]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, QC, Canada. External link
Yaoumi, M., Dupraz, E., Leduc-Primeau, F., & Guilloud, F. (2020). Energy optimization of quantized min-sum decoders for protograph-based LDPC codes. [Annales des Telecommunications]. External link
Yaoumi, M., Leduc-Primeau, F., Dupraz, E., & Guilloud, F. (2019, August). Optimization of protograph LDPC codes based on high-level energy models [Paper]. 16th International Symposium on Wireless Communication Systems, (ISWCS 2019), Oulu, Finland. External link
