Yann Beilliard

About Yann Beilliard

Yann Beilliard, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Université de Sherbrooke, specializes in the field of Nanoelectronics, emerging memories, neuromorphic computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

28 nm FD-SOI embedded phase change memory exhibiting near-zero drift at 12 K for cryogenic spiking neural networks (SNNs)

Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars

A tunable and versatile 28nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses

Memristor-based cryogenic programmable DC sources for scalable in situ quantum-dot control

Unsupervised and efficient learning in sparsely activated convolutional spiking neural networks enabled by voltage-dependent synaptic plasticity

A tunable and versatile 28 nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses

Analog programming of CMOS-compatible Al2O3/TiO2− x memristor at 4.2 K after metal-insulator transition suppression by cryogenic reforming

A cryogenic memristive neural decoder for fault-tolerant quantum error correction

Yann Beilliard Information

University

Position

PhD Adjunct Professor

Citations(all)

430

Citations(since 2020)

346

Cited By

127

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

12

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Yann Beilliard Skills & Research Interests

Nanoelectronics

emerging memories

neuromorphic computing

Top articles of Yann Beilliard

28 nm FD-SOI embedded phase change memory exhibiting near-zero drift at 12 K for cryogenic spiking neural networks (SNNs)

2024/4/26

Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars

arXiv preprint arXiv:2305.18495

2023/5/29

A tunable and versatile 28nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses

Available at SSRN 4470842

2023/5

Yann Beilliard
Yann Beilliard

H-Index: 7

Dominique Drouin
Dominique Drouin

H-Index: 18

Memristor-based cryogenic programmable DC sources for scalable in situ quantum-dot control

IEEE Transactions on Electron Devices

2023/2/20

Unsupervised and efficient learning in sparsely activated convolutional spiking neural networks enabled by voltage-dependent synaptic plasticity

Neuromorphic Computing and Engineering

2023/1/6

A tunable and versatile 28 nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses

Solid-State Electronics

2023/11/1

Yann Beilliard
Yann Beilliard

H-Index: 7

Dominique Drouin
Dominique Drouin

H-Index: 18

Analog programming of CMOS-compatible Al2O3/TiO2− x memristor at 4.2 K after metal-insulator transition suppression by cryogenic reforming

Applied Physics Letters

2023/10/1

A cryogenic memristive neural decoder for fault-tolerant quantum error correction

arXiv preprint arXiv:2307.09463

2023/7/18

Comparison of Sintering Methodologies for 3D Printed High-Density Interconnects (2.3 L/S) on Organic Substrates for High-Performance Computing Applications

2023/5/30

Development of a Plasma Etching Process of Copper for the Microfabrication of High-Density Interconnects in Advanced Packaging

2023/5/30

1.65 ¼m L/S high density interconnect on organic substrate by advanced semi-additive process for HPC applications

2023/5/30

Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

Frontiers in Neuroscience

2022/10/21

A self-aligned structure based on V-groove for accurate silicon bridge placement

2022/5/31

Method of assembly by direct bonding between two elements, each element comprising portions of metal and dielectric materials

2022/4/19

Exploiting non-idealities of resistive switching memories for efficient machine learning

2022/3/25

Codex: Stochastic encoding method to relax resistive crossbar accelerator design requirements

IEEE Transactions on Circuits and Systems II: Express Briefs

2022/3/8

Fully CMOS-compatible passive TiO2-based memristor crossbars for in-memory computing

Microelectronic Engineering

2022/2/1

Robust quantum dot charge autotuning with Bayesian Neural Networks

2022

Plasma etching of copper for the microfabrication of high-density interconnects in advanced packaging

2022

Yann Beilliard
Yann Beilliard

H-Index: 7

Dominique Drouin
Dominique Drouin

H-Index: 18

Unsupervised Learning with Ferroelectric Synapses

2022

See List of Professors in Yann Beilliard University(Université de Sherbrooke)

Co-Authors

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