Lachlan McCalman

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Lachlan McCalman trusts overall

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

1. Alex Smola
2. Le Song
3. Petros Drineas
4. Kenji Fukumizu
5. Jonathan Ko
6. Arthur Gretton
7. Dieter Fox
8. Jayesh H. Kotecha
9. Bernhard Schölkopf
10. Michael W. Mahoney

Who trusts Lachlan McCalman overall

1. Motonobu Kanagawa
2. Kenji Fukumizu
3. Krikamol Muandet
4. Yu Nishiyama

Papers from Lachlan McCalman's perspective

Ordered by how strongly the researchers Lachlan McCalman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Multi-modal estimation with kernel embeddings for learning motion models (2013) — 26 citations