Alexandre Valentian

Commissariat à l'Énergie Atomique et aux Énergies Alternatives — France

Engineering · Physical Sciences

20h-index1.2kcitations88works1.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advancements in Semiconductor Devices and Circuit Design(34), Low-power high-performance VLSI design(32), Semiconductor materials and devices(27), Advanced Memory and Neural Computing(24), Neural dynamics and brain function(12)

Publications88 total

A 772μJ/frame ImageNet Feature Extractor Accelerator on HD Images at 30FPS
2024· 1 cited
Live Demonstration: A 772μJ/frame ImageNet Feature Extractor Accelerator on HD Images at 30FPS
2024· 1 cited
Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses
2023· 7 citedOpen Access
Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting
2023· 13 citedOpen Access
Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey
IEEE Transactions on Neural Networks and Learning Systems·2023· 91 citedOpen Access
Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems
River Publishers eBooks·2023· 1 citedOpen Access
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study
IEEE Transactions on Emerging Topics in Computational Intelligence·2022· 58 citedOpen Access
Are SNNs Really More Energy-Efficient Than ANNs? An In-Depth Hardware-Aware Study
HAL (Le Centre pour la Communication Scientifique Directe)·2022
SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration
IEEE Journal of Solid-State Circuits·2022· 21 citedOpen Access
2022 roadmap on neuromorphic computing and engineering
Neuromorphic Computing and Engineering·2022Open Access
Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks
Lecture notes in computer science·2022· 20 citedOpen Access
SPIRIT: A First Mixed-Signal SNN Using Co-integrated CMOS Neurons and Resistive Synapses
2022· 2 cited
Scalable Pitch-Constrained Neural Processing Unit for 3D Integration with Event-Based Imagers
HAL (Le Centre pour la Communication Scientifique Directe)·2021Open Access
Scalable Pitch-Constrained Neural Processing Unit for 3D Integration with Event-Based Imagers
2021· 3 cited
Overcoming the Data Deluge Challenges with Greener Electronics
2021· 8 citedOpen Access
SamurAI: A 1.7MOPS-36GOPS Adaptive Versatile IoT Node with 15,000× Peak-to-Idle Power Reduction, 207ns Wake-Up Time and 1.3TOPS/W ML Efficiency
2020· 22 citedOpen Access
Fully-Integrated Spiking Neural Network Using SiO<sub>x</sub>-Based RRAM as Synaptic Device
2020· 6 citedOpen Access
Fully Integrated Spiking Neural Network with Analog Neurons and RRAM Synapses
2019· 83 cited
Circuits intégrés CMOS sur silicium
Électronique·2019
Advanced 3D Technologies and Architectures for 3D Smart Image Sensors
2019· 11 citedOpen Access
page 1 of 5Next →

Frequent Co-authors

Édith Beigné(15), Yvain Thonnart(10), Pascal Vivet(8), Philippe Flatresse(8), Thomas Mesquida(7), Olivier Thomas(7), Marc Belleville(6), Jean-Philippe Noël(6), Fabien Clermidy(6), Manon Dampfhoffer(5), Lorena Anghel(5), Ayed Ben Amara(5), Sébastien Bernard(5), S. Miermont(4), Elisa Vianello(4), Olivier Bichler(4), P. Batude(4), Olivier Billoint(4), Bastien Giraud(4), Julien Le Coz(4)