M. Le Gallo

Electrical and Electronic Engineering · 2016–2024

A researcher in the Science corpus: 10 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 295 citations into it; #7,877 of 16,539 by trust here, #3,438 by citations
• Cognitive Neuroscience — 67 citations into it
• Materials Chemistry — 64 citations into it
• Hardware and Architecture — 24 citations into it
• Computer Networks and Communications — 16 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom M. Le Gallo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Pentti Kanerva
2. Abu Sebastian
3. Daniele Ielmini
4. Geoffrey W. Burr
5. Geoffrey E. Hinton
6. Kaiming He
7. Onur Mutlu
8. Alex Krizhevsky
9. Andrew D. Kent
10. Yoshua Bengio

Who trusts M. Le Gallo overall

1. Geethan Karunaratne
2. Abu Sebastian
3. Leonardo Ravaglia
4. Carlos Ríos
5. Can Li
6. Michael Hersche
7. Fuxi Cai
8. Luca Benini
9. Zhongrui Wang

Papers from M. Le Gallo's perspective

Ordered by how strongly the researchers M. Le Gallo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Mixed-precision in-memory computing (2017) — 420 citations
• Neuromorphic computing using non-volatile memory (2017) — 1,066 citations
• Memory devices and applications for in-memory computing (2020) — 2,015 citations
• Robust high-dimensional memory-augmented neural networks (2020) — 123 citations
• Stochastic phase-change neurons. (2016) — 980 citations
• In-memory hyperdimensional computing (2019) — 305 citations
• Memristive technologies for data storage, computation, encryption, and radio-frequency communication (2022) — 606 citations
• Hardware implementation of memristor-based artificial neural networks (2024) — 429 citations
• A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference (2022) — 314 citations
• An overview of phase-change memory device physics (2020) — 383 citations