Benoit Larras

36 papers B 1C 5Journal 13Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Sub-400-nW Real-Time Event-Driven Spectrogram Extraction Unit in 28-nm FD-SOI CMOS for Keyword Spotting Application.
IEEE J. Solid State Circuits
Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé
2025 J jnl
DyCE: Dynamically Configurable Exiting for deep learning compression and real-time scaling.
Future Gener. Comput. Syst.
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
An Incremental Time-Domain Mixed-Signal Matrix-Vector-Multiplication Technique for Low-Power Edge-AI.
IEEE Trans. Circuits Syst. I Regul. Pap.
Kévin Hérissé, Benoit Larras, Bruno Stefanelli, Andreas Kaiser, Antoine Frappé
2024 J jnl
DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling.
CoRR
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
ECG Classification With Event-Driven Sampling.
IEEE Access
Maryam Saeed, Olev Martens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff
2024 — conf
Exploration of Low-Energy Floating-Point Flash Attention Mechanism for 18nm FD-SOI CMOS Integration at the Edge.
MWSCAS
Joaquin Cornejo, Filipe Pouget, Sylvain Clerc, Tifenn Hirtzlin, Benoit Larras, Andreia Cathelin, Antoine Frappé
2024 — conf
Tiny Models are the Computational Saver for Large Models.
ECCV (56)
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2024 J jnl
Tiny Models are the Computational Saver for Large Models.
CoRR
Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
2023 — conf
A 291nW Real-Time Event-Driven Spectrogram Extraction unit in 28nm FD-SOI CMOS for Keyword Spotting Application.
ESSCIRC
Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé
2023 J jnl
A DSP-Based EBI, ECG, and PPG Measurement Platform.
IEEE Trans. Instrum. Meas.
Anar Abdullayev, Marek Rist, Olev Märtens, Margus Metshein, Benoit Larras, Antoine Frappé, Antoine Gautier, Mart Min, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus
2023 C conf
An aggregator-less distributed smart sensor network with selective data exchange.
ISCAS
Mathieu Chêne, Benoit Larras, Antoine Frappé, Andreas Kaiser
2023 — conf
Low-Power Event-Driven Spectrogram Extractor for Multiple Keyword Spotting: A proof of concept.
NEWCAS
Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé
2023 J jnl
Sensor-Location-Specific Joint Acquisition of Peripheral Artery Bioimpedance and Photoplethysmogram for Wearable Applications.
Sensors
Margus Metshein, Anar Abdullayev, Antoine Gautier, Benoit Larras, Antoine Frappé, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens
2022 — conf
Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors.
ICECS 2022
Qingyuan Wang, Antoine Frappé, Benoit Larras, Barry Cardiff, Deepu John
2022 — conf
Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials.
BioCAS
Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff
2022 — conf
Fiducial Point Estimation Solution for Impedance Cardiography Measurements.
I2MTC
Olev Märtens, Margus Metshein, Anar Abdullayev, Benoit Larras, Antoine Frappé, Antoine Gautier, Maryam Saeed, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus, Marek Rist
2021 — conf
A 43pJ per Inference CBNN-based Compute-in-sensor Associative Memory in 28nm FDSOI.
ESSCIRC
Benoit Larras, Antoine Frappé
2021 — conf
A 43pJ per Inference CBNN-based Compute-in-sensor Associative Memory in 28nm FDSOI.
ESSDERC
Benoit Larras, Antoine Frappé
2021 J jnl
Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification.
IEEE Trans. Biomed. Circuits Syst.
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John
2021 — conf
Event-Driven Continuous-Time Feature Extraction for Ultra Low-Power Audio Keyword Spotting.
AICAS
Soufiane Mourrane, Benoit Larras, Andreia Cathelin, Antoine Frappé
2021 C conf
Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset.
ISCAS
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John
2021 — conf
Keyword Spotting System using Low-complexity Feature Extraction and Quantized LSTM.
ICECS
Kévin Hérissé, Benoit Larras, Antoine Frappé, Andreas Kaiser
2021 — conf
Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals.
EMBC
Margus Metshein, Antoine Gautier, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens
2020 — conf
An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors.
BODYNETS
Antoine Gautier, Marine Dael, Robin Benarrouch, Benoit Larras, Antoine Frappé
2020 — conf
Distributed Clique-Based Neural Networks for Data Fusion at the Edge.
AICAS
Benoit Larras, Antoine Frappé
2020 J jnl
On the Distribution of Clique-Based Neural Networks for Edge AI.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Benoit Larras, Antoine Frappé
2019 J jnl
A Fully Flexible Circuit Implementation of Clique-Based Neural Networks in 65-nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap.
Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
2018 C conf
A fully flexible circuit implementation of clique-based neural networks in 65-nm CMOS.
ISCAS
Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
2018 — conf
Low-complexity feature extraction unit for "Wake-on-Feature" speech processing.
ICECS
Simon Lecoq, Jean Le Bellego, Angel Gonzalez, Benoit Larras, Antoine Frappé
2017 C conf
A 65-nm CMOS 7fJ per synaptic event clique-based neural network in scalable architecture.
ISCAS
Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
2017 — conf
An ultra-low power iterative clique-based neural network integrated in 65-nm CMOS.
NEWCAS
Paul Chollet, Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
2016 J jnl
Energy-Efficient Associative Memory Based on Neural Cliques.
IEEE Trans. Circuits Syst. II Express Briefs
Bartosz Boguslawski, Frédéric Heitzmann, Benoit Larras, Fabrice Seguin
2016 J jnl
Ultra-Low-Energy Mixed-Signal IC Implementing Encoded Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
2015 B conf
Design of analog subthreshold Encoded Neural Network circuit in sub-100nm CMOS.
IJCNN
Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
2013 — conf
Analog encoded neural network for power management in MPSoC.
NEWCAS
Benoit Larras, Bartosz Boguslawski, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin, Frédéric Heitzmann
2013 C conf
Analog implementation of encoded neural networks.
ISCAS
Benoit Larras, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin