Max Kochurov

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Max Kochurov trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Max Welling
4. Danilo Jimenez Rezende
5. Yann LeCun
6. Yoshua Bengio
7. Alex Krizhevsky
8. Christos Louizos
9. Radford M. Neal
10. L. Eon Bottou

Who trusts Max Kochurov overall

1. Cuong V Nguyen
2. David Dohan
3. Patrick McClure

Papers from Max Kochurov's perspective

Ordered by how strongly the researchers Max Kochurov 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• PyMC4: Exploiting Coroutines for Implementing a Probabilistic Programming Framework (2019) — 4 citations
• Bayesian Incremental Learning for Deep Neural Networks (2018) — 24 citations