Takaaki Murata

Statistical and Nonlinear Physics · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 13 citations into it
• Computational Mechanics — 12 citations into it

Whom Takaaki Murata trusts overall

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

1. Lutz Prechelt
2. Peter J. Schmid
3. Diederik P. Kingma
4. Michele Milano
5. Kunihiko Taira
6. Steven L. Brunton
7. Jimmy Ba
8. J. Nathan Kutz
9. Petros Koumoutsakos
10. Clarence W. Rowley

Who trusts Takaaki Murata overall

1. Ricardo Vinuesa

Papers from Takaaki Murata's perspective

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

Their papers

• Nonlinear mode decomposition with convolutional neural networks for fluid dynamics (2019) — 341 citations