M. Narasimha Murty

Statistical and Nonlinear Physics · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 59 citations into it
• Computational Mechanics — 51 citations into it
• Statistics and Probability — 34 citations into it
• Artificial Intelligence — 26 citations into it
• Civil and Structural Engineering — 9 citations into it
• Electrical and Electronic Engineering — 8 citations into it

Whom M. Narasimha Murty trusts overall

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

1. Steven L. Brunton
2. João Paulo Papa
3. Igor Mezi'c
4. Robert Tibshirani
5. E.J. Candes
6. Peter J. Schmid
7. Stéphane Mallat
8. J. Nathan Kutz
9. Joel A. Tropp
10. Clarence W. Rowley

Papers from M. Narasimha Murty's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Regression Shrinkage and Selection via the Lasso
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Clustering and Classification (2019) — 343 citations