Mark D. Barnell

Nature Electronics · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Mark D. Barnell's perspective

Ordered by how strongly the researchers Mark D. Barnell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Deep Sparse Rectifier Neural Networks
5. Learning to Forget: Continual Prediction with LSTM
6. Mastering the game of Go with deep neural networks and tree search
7. A Focused Backpropagation Algorithm for Temporal Pattern Recognition
8. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
9. A Theoretical Framework for Back-Propagation
10. Generalization of backpropagation with application to a recurrent gas market model

Their papers

• Analogue signal and image processing with large memristor crossbars (2017) — 1,118 citations
• Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. (2017) — 2,057 citations
• A novel true random number generator based on a stochastic diffusive memristor (2017) — 390 citations
• Fully memristive neural networks for pattern classification with unsupervised learning (2018) — 993 citations
• Three-dimensional memristor circuits as complex neural networks (2020) — 313 citations
• Reinforcement learning with analogue memristor arrays (2019) — 334 citations
• Efficient and self-adaptive in-situ learning in multilayer memristor neural networks (2018) — 828 citations
• Long short-term memory networks in memristor crossbar arrays (2018) — 368 citations