Maxwell Crouse

Artificial Intelligence · 2019–2020

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 — 33 citations into it
• Natural Language Processing — 14 citations into it
• Computational Theory and Mathematics — 13 citations into it
• Graph Learning — 7 citations into it

Whom Maxwell Crouse trusts overall

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

1. Diederik P. Kingma
2. Christian Szegedy
3. Kshitij Bansal
4. Sergey Ioffe
5. Jimmy Ba
6. Sarah M. Loos
7. Thomas Kipf
8. Geoffrey Irving
9. Geoffrey E. Hinton
10. Justin Gilmer

Who trusts Maxwell Crouse overall

1. Ibrahim Abdelaziz

Papers from Maxwell Crouse's perspective

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

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

Their papers

• Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling (2019) — 40 citations
• An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic (2020) — 6 citations