Publications – LeanAI

2021

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. https://hal.inria.fr/hal-03494256

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. https://hal.inria.fr/hal-03494874v1
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. https://hal.science/hal-03827660
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. https://hal.inria.fr/hal-03885471

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. https://hal.science/hal-03784625

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. https://doi.org/10.1145/3609118

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. https://hal.science/hal-04252197
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. https://inria.hal.science/hal-03885240
Nicolas Brisebarre, Silviu-Ioan Filip. Towards Machine-Efficient Rational -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. https://hal.science/hal-04093020

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. https://hal.science/hal-04380270

Cédric Gernigon, Silviu-Ioan Filip, Olivier Sentieys, Clément Coggiola, Mickaël Bruno. AdaQAT: Adaptive Bit-Width Quantization-Aware Training, in proceeding of the 6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Apr 2024, Abu Dhabi, UAE. https://hal.science/hal-04549245
Léo Pradels, Silviu-Ioan Filip, Olivier Sentieys, Daniel Chillet, Thibaut Le Calloch. FPGA-based CNN Acceleration using Pattern-Aware Pruning, in proceeding of the 6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Apr 2024, Abu Dhabi, UAE. https://ieeexplore.ieee.org/document/10595865
El-Mehdi El Arar, Massimiliano Fasi, Silviu-Ioan Filip, Mantas Mikaitis. Probabilistic error analysis of limited-precision stochastic rounding, 2024, preprint available at https://hal.science/hal-04665809