James Morrill

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom James Morrill trusts overall

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

1. Diederik P. Kingma
2. Yulia Rubanova
3. T. Chen
4. Hongyuan Mei
5. Belinda Tzen
6. Hao Wu
7. A. Gholami
8. Jimmy Ba
9. Zhengping Che
10. Wei Cao

Who trusts James Morrill overall

1. Albert Gu
2. Tri Dao

Papers from James Morrill's perspective

Ordered by how strongly the researchers James Morrill 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Neural Controlled Differential Equations for Irregular Time Series (2020) — 758 citations