Chris M. Lloyd

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Chris M. Lloyd trusts overall

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

1. Michalis K. Titsias
2. Peter J. Diggle
3. Paul Fearnhead
4. Neil D. Lawrence
5. James Hensman
6. Ryan P. Adams
7. John P. Cunningham
8. Tom Gunter
9. Nicoló Fusi
10. Iain Murray

Who trusts Chris M. Lloyd overall

1. James Hensman
2. Wenzhao Lian
3. Alexander G. de G. Matthews
4. Ricardo Henao

Papers from Chris M. Lloyd's perspective

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

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

Their papers

• Variational Inference for Gaussian Process Modulated Poisson Processes (2014) — 127 citations
• Blitzkriging: Kronecker-structured Stochastic Gaussian Processes (2015) — 22 citations