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ORCIDBenoit Larras
Person information
- affiliation: University of Lille, IEMN, France
- affiliation: ISEN Lille, France
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2020 – today
- 2024
[j8]Maryam Saeed
, Olev Martens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff:
ECG Classification With Event-Driven Sampling. IEEE Access 12: 25188-25199 (2024)- [c26]Joaquin Cornejo, Filipe Pouget, Sylvain Clerc, Tifenn Hirtzlin, Benoit Larras, Andreia Cathelin, Antoine Frappé:
Exploration of Low-Energy Floating-Point Flash Attention Mechanism for 18nm FD-SOI CMOS Integration at the Edge. MWSCAS 2024: 1056-1059 - [i2]Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John:
DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling. CoRR abs/2403.01695 (2024) - [i1]Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John:
Tiny Models are the Computational Saver for Large Models. CoRR abs/2403.17726 (2024) - 2023
- [j7]Margus Metshein, Anar Abdullayev, Antoine Gautier, Benoit Larras, Antoine Frappé, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens:
Sensor-Location-Specific Joint Acquisition of Peripheral Artery Bioimpedance and Photoplethysmogram for Wearable Applications. Sensors 23(16): 7111 (2023) - [j6]Anar Abdullayev, Marek Rist, Olev Märtens, Margus Metshein, Benoit Larras, Antoine Frappé, Antoine Gautier, Mart Min, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus:
A DSP-Based EBI, ECG, and PPG Measurement Platform. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c25]Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé:
A 291nW Real-Time Event-Driven Spectrogram Extraction unit in 28nm FD-SOI CMOS for Keyword Spotting Application. ESSCIRC 2023: 341-344 - [c24]Mathieu Chêne, Benoit Larras, Antoine Frappé, Andreas Kaiser:
An aggregator-less distributed smart sensor network with selective data exchange. ISCAS 2023: 1-5 - [c23]Soufiane Mourrane, Benoit Larras, Sylvain Clerc, Andreia Cathelin, Antoine Frappé:
Low-Power Event-Driven Spectrogram Extractor for Multiple Keyword Spotting: A proof of concept. NEWCAS 2023: 1-5 - [c22]Antoine Gautier, Benoît Larras, Olev Märtens, Deepu John, Antoine Frappé:
Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for Biomedical Applications. NorCAS 2023: 1-5 - 2022
- [c21]Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff:
Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials. BioCAS 2022: 595-599 - [c20]Olev Märtens, Margus Metshein, Anar Abdullayev, Benoit Larras, Antoine Frappé, Antoine Gautier, Maryam Saeed, Deepu John, Barry Cardiff, Andrei Krivosei, Paul Annus, Marek Rist:
Fiducial Point Estimation Solution for Impedance Cardiography Measurements. I2MTC 2022: 1-6 - [c19]Qingyuan Wang, Antoine Frappé, Benoit Larras, Barry Cardiff, Deepu John:
Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors. ICECS 2022 2022: 1-4 - [c18]Julien Duforest, Benoît Larras, Antoine Frappé, Chacko John Deepu, Olev Märtens:
Antidictionary-Based Cardiac Arrhythmia Classification For Smart ECG sensors. ISCAS 2022: 414-418 - 2021
- [j5]Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John:
Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification. IEEE Trans. Biomed. Circuits Syst. 15(6): 1129-1139 (2021) - [c17]Soufiane Mourrane, Benoit Larras, Andreia Cathelin, Antoine Frappé:
Event-Driven Continuous-Time Feature Extraction for Ultra Low-Power Audio Keyword Spotting. AICAS 2021: 1-4 - [c16]Julien Duforest, Benoît Larras, Deepu John, Olev Märtens, Antoine Frappé:
Slope-Based Event-Driven Feature Extraction For Cardiac Arrhythmia Classification. BioCAS 2021: 1-4 - [c15]Margus Metshein, Antoine Gautier, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff, Paul Annus, Raul Land, Olev Märtens:
Study of Electrode Locations for Joint Acquisition of Impedance- and Electro-cardiography Signals. EMBC 2021: 7264 - [c14]Benoit Larras, Antoine Frappé:
A 43pJ per Inference CBNN-based Compute-in-sensor Associative Memory in 28nm FDSOI. ESSCIRC 2021: 111-114 - [c13]Benoit Larras, Antoine Frappé:
A 43pJ per Inference CBNN-based Compute-in-sensor Associative Memory in 28nm FDSOI. ESSDERC 2021: 111-114 - [c12]Kévin Hérissé, Benoit Larras, Antoine Frappé, Andreas Kaiser:
Keyword Spotting System using Low-complexity Feature Extraction and Quantized LSTM. ICECS 2021: 1-4 - [c11]Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John:
Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset. ISCAS 2021: 1-5 - [c10]Antoine Gautier, Benoît Larras, Olev Märtens, Deepu John, Antoine Frappé:
Embedded ICG-based Stroke Volume Measurement System: Comparison of Discrete-Time and Continuous-Time Architectures. SoCC 2021: 46-51 - 2020
- [j4]Benoit Larras, Antoine Frappé:
On the Distribution of Clique-Based Neural Networks for Edge AI. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 469-477 (2020) - [c9]Benoit Larras, Antoine Frappé:
Distributed Clique-Based Neural Networks for Data Fusion at the Edge. AICAS 2020: 55-58 - [c8]Antoine Gautier, Marine Dael, Robin Benarrouch, Benoit Larras, Antoine Frappé:
An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors. BODYNETS 2020: 199-211
2010 – 2019
- 2019
- [j3]Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel:
A Fully Flexible Circuit Implementation of Clique-Based Neural Networks in 65-nm CMOS. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(5): 1704-1715 (2019) - 2018
- [c7]Simon Lecoq, Jean Le Bellego, Angel Gonzalez, Benoit Larras, Antoine Frappé:
Low-complexity feature extraction unit for "Wake-on-Feature" speech processing. ICECS 2018: 677-680 - [c6]Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel:
A fully flexible circuit implementation of clique-based neural networks in 65-nm CMOS. ISCAS 2018: 1-4 - 2017
- [c5]Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel:
A 65-nm CMOS 7fJ per synaptic event clique-based neural network in scalable architecture. ISCAS 2017: 1-4 - [c4]Paul Chollet, Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel:
An ultra-low power iterative clique-based neural network integrated in 65-nm CMOS. NEWCAS 2017: 5-8 - 2016
- [j2]Bartosz Boguslawski, Frédéric Heitzmann, Benoit Larras, Fabrice Seguin:
Energy-Efficient Associative Memory Based on Neural Cliques. IEEE Trans. Circuits Syst. II Express Briefs 63-II(4): 376-380 (2016) - [j1]Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel:
Ultra-Low-Energy Mixed-Signal IC Implementing Encoded Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(11): 1974-1985 (2016) - 2015
- [c3]Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel:
Design of analog subthreshold Encoded Neural Network circuit in sub-100nm CMOS. IJCNN 2015: 1-7 - 2013
- [c2]Benoit Larras, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin:
Analog implementation of encoded neural networks. ISCAS 2013: 1612-1615 - [c1]Benoit Larras, Bartosz Boguslawski, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin, Frédéric Heitzmann:
Analog encoded neural network for power management in MPSoC. NEWCAS 2013: 1-4
Coauthor Index
aka: Deepu John
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last updated on 2024-10-11 18:19 CEST by the dblp team
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