David Bignell

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Reinforcement Learning — 16 citations into it; #961 of 2,242 by trust here, #778 by citations
• Generative Models — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom David Bignell trusts overall

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

1. Jonathan Ho

Who trusts David Bignell overall

1. Haonan Yu
2. Caiming Xiong
3. Richard Socher
4. Wei Xu
5. Josh Tenenbaum
6. Davood Hajinezhad
7. Afshin Oroojlooyjadid
8. Pushmeet Kohli
9. Jiajun Wu
10. Eric

Papers from David Bignell's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Et al
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Imitating Human Behaviour with Diffusion Models (2023) — 323 citations
• The Malmo Platform for Artificial Intelligence Experimentation (2016) — 423 citations