Max B. Paulus

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Optimization & Training — 13 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Generative Models — 6 citations into it

Whom Max B. Paulus trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Andriy Mnih
5. André F. T. Martins
6. Yoshua Bengio
7. Yarin Gal
8. Alex Krizhevsky
9. Danilo Jimenez Rezende
10. Jimmy Ba

Papers from Max B. Paulus's perspective

Ordered by how strongly the researchers Max B. Paulus 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Gradient Estimation with Stochastic Softmax Tricks (2020) — 101 citations