Benoit Larras

According to our database, Benoit Larras authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Tiny Models are the Computational Saver for Large Models.

Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John

CoRR, 2024

DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling.

Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John

CoRR, 2024

ECG Classification With Event-Driven Sampling.

Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff

IEEE Access, 2024

2023

Sensor-Location-Specific Joint Acquisition of Peripheral Artery Bioimpedance and Photoplethysmogram for Wearable Applications.

Margus Metshein, Anar Abdullayev, Antoine Gautier, Benoit Larras, Antoine Frappé, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens

Sensors, August, 2023

A DSP-Based EBI, ECG, and PPG Measurement Platform.

Anar Abdullayev, Marek Rist, Olev Märtens, Margus Metshein, Benoit Larras, Antoine Frappé, Antoine Gautier, Mart Min, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus

IEEE Trans. Instrum. Meas., 2023

Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for Biomedical Applications.

Antoine Gautier, Benoît Larras, Olev Märtens, Deepu John, Antoine Frappé

Proceedings of the IEEE Nordic Circuits and Systems Conference, 2023

Low-Power Event-Driven Spectrogram Extractor for Multiple Keyword Spotting: A proof of concept.

Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé

Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

An aggregator-less distributed smart sensor network with selective data exchange.

Mathieu Chêne, Benoit Larras, Antoine Frappé, Andreas Kaiser

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A 291nW Real-Time Event-Driven Spectrogram Extraction unit in 28nm FD-SOI CMOS for Keyword Spotting Application.

Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé

Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

2022

Antidictionary-Based Cardiac Arrhythmia Classification For Smart ECG sensors.

Julien Duforest, Benoît Larras, Antoine Frappé, Chacko John Deepu, Olev Märtens

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors.

Qingyuan Wang, Antoine Frappé, Benoit Larras, Barry Cardiff, Deepu John

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Fiducial Point Estimation Solution for Impedance Cardiography Measurements.

Olev Märtens, Margus Metshein, Anar Abdullayev, Benoit Larras, Antoine Frappé, Antoine Gautier, Maryam Saeed, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus, Marek Rist

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials.

Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification.

Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John

IEEE Trans. Biomed. Circuits Syst., 2021

Embedded ICG-based Stroke Volume Measurement System: Comparison of Discrete-Time and Continuous-Time Architectures.

Antoine Gautier, Benoît Larras, Olev Märtens, Deepu John, Antoine Frappé

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset.

Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Keyword Spotting System using Low-complexity Feature Extraction and Quantized LSTM.

Kévin Hérissé, Benoit Larras, Antoine Frappé, Andreas Kaiser

Proceedings of the 28th IEEE International Conference on Electronics, 2021

A 43pJ per Inference CBNN-based Compute-in-sensor Associative Memory in 28nm FDSOI.

Benoit Larras, Antoine Frappé

Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals.

Margus Metshein, Antoine Gautier, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Slope-Based Event-Driven Feature Extraction For Cardiac Arrhythmia Classification.

Julien Duforest, Benoît Larras, Deepu John, Olev Märtens, Antoine Frappé

Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

Event-Driven Continuous-Time Feature Extraction for Ultra Low-Power Audio Keyword Spotting.

Soufiane Mourrane, Benoit Larras, Andreia Cathelin, Antoine Frappé

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

On the Distribution of Clique-Based Neural Networks for Edge AI.

Benoit Larras, Antoine Frappé

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors.

Antoine Gautier, Marine Dael, Robin Benarrouch, Benoit Larras, Antoine Frappé

Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health, 2020

Distributed Clique-Based Neural Networks for Data Fusion at the Edge.

Benoit Larras, Antoine Frappé

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

A Fully Flexible Circuit Implementation of Clique-Based Neural Networks in 65-nm CMOS.

Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

2018

Low-complexity feature extraction unit for "Wake-on-Feature" speech processing.

Simon Lecoq, Jean Le Bellego, Angel Gonzalez, Benoit Larras, Antoine Frappé

Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

2017

An ultra-low power iterative clique-based neural network integrated in 65-nm CMOS.

Paul Chollet, Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel

Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017

A 65-nm CMOS 7fJ per synaptic event clique-based neural network in scalable architecture.

Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016

Ultra-Low-Energy Mixed-Signal IC Implementing Encoded Neural Networks.

Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel

IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Energy-Efficient Associative Memory Based on Neural Cliques.

Bartosz Boguslawski, Frédéric Heitzmann, Benoit Larras, Fabrice Seguin

IEEE Trans. Circuits Syst. II Express Briefs, 2016

2015

Design of analog subthreshold Encoded Neural Network circuit in sub-100nm CMOS.

Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

Analog encoded neural network for power management in MPSoC.

Benoit Larras, Bartosz Boguslawski, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin, Frédéric Heitzmann

Proceedings of the IEEE 11th International New Circuits and Systems Conference, 2013

Analog implementation of encoded neural networks.

Benoit Larras, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013