Chetan S. Kulkarni

Control and Systems Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 13 citations into it
• Artificial Intelligence — 6 citations into it

Whom Chetan S. Kulkarni trusts overall

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

1. Diederik P. Kingma
2. Xavier Glorot
3. Simon Justin Julier
4. John L. Crassidis
5. Xiang Li
6. Yoshua Bengio
7. Paulo da Costa
8. Manuel Arias Chao
9. Jimmy Ba
10. Nikolas Kantas

Who trusts Chetan S. Kulkarni overall

1. Manuel Arias Chao

Papers from Chetan S. Kulkarni's perspective

Ordered by how strongly the researchers Chetan S. Kulkarni 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. Understanding the difficulty of training deep feedforward neural networks
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. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Fusing Physics-based and Deep Learning Models for Prognostics (2020) — 388 citations