[1] Van-Phu Ha and Olivier Sentieys. Maximizing computing accuracy on resource-constrained architectures. In 26th IEEE/ACM Design, Automation and Test in Europe (DATE), pages 1--6, 2023. [ bib | http ]
[2] Marcello Traiola, Angeliki Kritikakou, and Olivier Sentieys. hardnning: a machine-learning-based framework for fault tolerance assessment and protection of deep neural networks. In 26th IEEE/ACM Design, Automation and Test in Europe (DATE), pages 1--6, 2023. [ bib | http ]
[3] Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia, Juan David Guerrero Balaguera, Matteo Sonza Reorda, Olivier Sentieys, and Paolo Rech. Characterizing a neutron-induced fault model for deep neural networks. IEEE Transactions on Nuclear Science, 2022. [ bib | http ]
[4] Rafail Psiakis, Angeliki Kritikakou, and Olivier Sentieys. Dynamic fault-tolerant vliw processor with heterogeneous function units. Microprocessors and Microsystems: Embedded Hardware Design, 93:104564, 2022. [ bib | DOI | http ]
[5] Xinmei Li, Lei Mo, Angeliki Kritikakou, and Olivier Sentieys. Approximation-aware task deployment on heterogeneous multi-core platforms with dvfs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pages 1--15, 2022. [ bib | DOI | http ]
[6] Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys, David Novo, Ian O'Connor, and Alberto Bosio. Approximate Computing Techniques - From Component- to Application-Level, chapter Approximations in Deep Learning. Springer, 2022. [ bib | http ]
[7] Olivier Sentieys and Daniel Menard. Approximate Computing Techniques - From Component- to Application-Level, chapter Customizing Number Representation and Precision. Springer, 2022. [ bib | http ]
[8] Alberto Bosio, Daniel Menard, and Olivier Sentieys. Approximate Computing Techniques: From Component- to Application-Level. Springer, 2022. [ bib | http ]
[9] Angeliki Kritikakou, Olivier Sentieys, Guillaume Hubert, Youri Helen, Jean-Francois Coulon, and Patrice Deroux-Dauphin. Flodam: Cross-layer reliability analysis flow for complex hardware designs. In 25th IEEE/ACM Design, Automation and Test in Europe (DATE), pages 1--6, March 2022. [ bib | http ]
[10] Mariko Tatsumi, Silviu-Ioan Filip, Caroline White, Olivier Sentieys, and Guy Lemieux. Mixing low-precision formats in multiply-accumulate units for dnn training. In IEEE International Conference on Field Programmable Technology (FPT), pages 1--9, 2022. [ bib | http ]
[11] Thibault Allenet, David Briand, Olivier Bichler, and Olivier Sentieys. Disentangled loss for low-bit quantization-aware training. In IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 2788--2792, 2022. [ bib | DOI | http ]
[12] Fernando Fernandes dos Santos, Angeliki Kritikakou, and Olivier Sentieys. Experimental evaluation of neutron-induced errors on a multicore risc-v platform. In 28th IEEE International Symposium on OnLine Testing and Robust System Design (IOLTS), pages 1--7, 2022. [ bib | http ]
[13] Angeliki Kritikakou, Panagiota Nikolaou, Ivan Rodriguez-Ferrandez, Joseph Paturel, Leonidas Kosmidis, Maria K. Michael, Olivier Sentieys, and David Steenari. Functional and timing implications of transient faults in critical systems. In 28th IEEE International Symposium on OnLine Testing and Robust System Design (IOLTS), pages 1--10, 2022. [ bib | http ]
[14] Fernando Fernandes dos Santos, Angeliki Kritikakou, Olivier Sentieys, and Paolo Rech. Characterizing deep neural networks neutrons-induced error model. In IEEE Nuclear & Space Radiation Effects Conference (NSREC), pages 1--5, 2022. [ bib | http ]
[15] Fernando Fernandes dos Santos, Paolo Rech, Angeliki Kritikakou, and Olivier Sentieys. Evaluating the impact of mixed-precision on fault propagation for deep neural networks on gpus. In IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pages 327--327, 2022. [ bib | DOI | http ]
[16] Fernando Fernandes, Angeliki Kritikakou, and Olivier Sentieys. Experimental evaluation of neutron-induced errors on a risc-v processor. In Poster at RISC-V Week 2022, 2022. [ bib | http ]
[17] Simon Rokicki, Joseph Paturel, and Olivier Sentieys. Comet: a risc-v core synthesized from c++ specifications. In Poster at Spring 2022 RISC-V Week, 2022. [ bib | http ]

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