• Mariko Tatsumi, Yuxiang Xie, Caroline White, Silviu-Ioan Filip, Olivier Sentieys, et al. MPTorch and MPArchimedes: Open Source Frameworks to Explore Custom Mixed-Precision Operations for DNN Training on Edge Devices. ROAD4NN 2021 – 2nd ROAD4NN Workshop: Research Open Automatic Design for Neural Networks, Dec 2021, San Francisco, United States.


  • Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys, David Novo, Ian O’Connor, et al.. Approximations in Deep Learning. Approximate Computing Techniques – From Component to Application Level, pp.467-512, 2022, Springer.
  • Tobias Habermann, Jonas Kühle, Martin Kumm, Anastasia Volkova. Hardware-Aware Quantization for Multiplierless Neural Network Controllers. The IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Nov 2022, Shenzhen, China.
  • Mariko Tatsumi, Silviu-Ioan Filip, Caroline White, Olivier Sentieys, Guy Lemieux. Mixing Low-Precision Formats in Multiply-Accumulate Units for DNN Training, In 2022 International Conference on Field-Programmable Technology (ICFPT), Dec 2022, Hong Kong SAR, China.


  • Prachi Kashikar, Olivier Sentieys, Sharad Sinha. Lossless Neural Network Model Compression Through Exponent Sharing. In IEEE Transactions on Very Large Scale (VLSI) Systems, vol. 31, no. 11, pp. 1816-1825, 2023.
  • Rémi Garcia, Anastasia Volkova. Toward the Multiple Constant Multiplication at Minimal Hardware Cost,” in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 5, pp. 1976-1988, May 2023, doi: 10.1109/TCSI.2023.3241859.
  • Debasmita Lohar, Clothilde Jeangoudoux, Anastasia Volkova, Eva Darulova. Sound Mixed Fixed-Point Quantization of Neural Networks. ACM Trans. Embed. Comput. Syst. 22, Article 136 (October 2023), 26 pages
  • Cédric Gernigon, Silviu-Ioan Filip, Olivier Sentieys, Clément Coggiola, Mickael Bruno. Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing. In 2023 European Data Handling & Data Processing (EDHPC), Oct 2023, Juan-Les-Pins, France.
  • Van-Phu Ha, Olivier Sentieys. Maximizing Computing Accuracy on Resource-Constrained Architectures. In 2023 IEEE/ACM Design, Automation and Test in Europe (DATE), Apr 2023, Antwerp, Belgium.
  • Nicolas Brisebarre, Silviu-Ioan Filip. Towards Machine-Efficient Rational Latex formula-Approximations of Mathematical Functions. In 2023 IEEE Symposium on Computer Arithmetic (ARITH), Sep 2023, Portland, USA. Winner of the best paper award at the conference.


  • Sami Ben Ali, Silviu-Ioan Filip, Olivier Sentieys. A Stochastic Rounding-Enabled Low-Precision Floating-Point MAC for DNN Training. In 2024 IEEE/ACM Design, Automation and Test in Europe (DATE), Mar 2024, Valencia, Spain.

Comments are closed.