Brian J. Taylor

Artificial Intelligence · 2005–2010

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #19,848 of 35,345 by trust here, #21,878 by citations
• Information Systems — 8 citations into it; #6,724 of 8,771 by trust here, #5,942 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Model Architectures — 6 citations into it

Whom Brian J. Taylor trusts overall

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

1. John J. Hopfield
2. Tom L. Burr
3. J. Ross Quinlan
4. Ryszard S. Michalski
5. Stephen Grossberg
6. Mark W. Craven
7. Geoffrey E. Hinton
8. David E. Rumelhart
9. Radford M. Neal
10. Christoph von der Malsburg

Who trusts Brian J. Taylor overall

1. Tameru Hailesilassie
2. Gethsiyal Augasta M
3. Shankar Krishnan
4. Grgoire Montavon
5. Stuart J. Russell
6. Clemens Otte
7. Lena Mamykina
8. Andreas Holzinger
9. Marc E. Maier

Papers from Brian J. Taylor's perspective

Ordered by how strongly the researchers Brian J. Taylor 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. Neural networks and physical systems with emergent collective computational abilities.
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. This PDF file includes: Materials and Methods
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Methods and Procedures for the Verification and Validation of Artificial Neural Networks (2005) — 115 citations
• Learning Causal Models of Relational Domains (2010) — 48 citations
• Causal discovery in social media using quasi-experimental designs (2010) — 75 citations
• Rule extraction as a formal method for the verification and validation of neural networks (2005) — 37 citations