Ashutosh K. Maurya

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it
• Artificial Intelligence — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Ashutosh K. Maurya trusts overall

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

1. Robert Tibshirani
2. Hui Zou
3. Bradley Efron
4. Trevor J. Hastie
5. Andrew L. Maas
6. James Franklin
7. Charu C. Aggarwal
8. Leo Breiman
9. Jerome H. Friedman
10. Adji Bousso Dieng

Who trusts Ashutosh K. Maurya overall

1. Ugur Kursuncu

Papers from Ashutosh K. Maurya's perspective

Ordered by how strongly the researchers Ashutosh K. Maurya 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Regression Shrinkage and Selection via the Lasso
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning low dimensional word based linear classifiers using Data Shared Adaptive Bootstrap Aggregated Lasso with application to IMDb data (2018)