Kush Bhatia

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Reinforcement Learning — 21 citations into it
• Computational Mechanics — 12 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Statistics and Probability — 9 citations into it; #4,495 of 12,932 by trust here, #5,294 by citations
• Control and Systems Engineering — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Kush Bhatia trusts overall

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

1. Nam H. Nguyen
2. Roman Vershynin
3. Trac Duy Tran
4. Prateek Jain
5. Peter J. Rousseeuw
6. Andrew Y. Ng
7. Arkaitz Zubiaga
8. Geoffrey E. Hinton
9. Béatrice Laurent
10. Thomas Blumensath

Who trusts Kush Bhatia overall

1. Prateek Jain
2. Ilias Diakonikolas
3. Tong Wei
4. Michalis K. Titsias
5. Purushottam Kar
6. Yanyao Shen
7. Mingchen Li
8. Weihao Kong
9. Chih-Kuan Yeh
10. Jacob Steinhardt

Papers from Kush Bhatia's perspective

Ordered by how strongly the researchers Kush Bhatia 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Robust Regression via Hard Thresholding (2015) — 169 citations
• The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models (2022) — 345 citations
• Consistent Robust Regression (2017) — 105 citations
• Sparse Local Embeddings for Extreme Multi-label Classification (2015) — 464 citations