Mohak Bhardwaj

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Aerospace Engineering — 6 citations into it
• Reinforcement Learning — 6 citations into it
• Control and Systems Engineering — 5 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Mohak Bhardwaj trusts overall

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

1. Nathan D. Ratliff
2. Ronald J. Williams
3. John Schulman
4. Brandon Amos
5. Sepp Hochreiter
6. Geoffrey E. Hinton
7. David E. Rumelhart
8. Frank Dellaert
9. Sergey Levine
10. J. Urgen Schmidhuber

Who trusts Mohak Bhardwaj overall

1. Andrew Szot

Papers from Mohak Bhardwaj's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Differentiable Gaussian Process Motion Planning (2019) — 71 citations