Karthika Mohan

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #26,104 of 35,345 by trust here, #29,412 by citations
• Computational Mechanics — 21 citations into it; #3,998 of 10,001 by trust here, #7,173 by citations
• Probabilistic & Bayesian Methods — 11 citations into it
• Statistics and Probability — 10 citations into it; #9,714 of 12,932 by trust here, #11,487 by citations
• Computer Vision and Pattern Recognition — 8 citations into it
• Causal Inference & Discovery — 7 citations into it
• Biomedical Engineering — 6 citations into it
• Numerical Analysis — 6 citations into it; #1,330 of 3,586 by trust here, #1,968 by citations

Whom Karthika Mohan trusts overall

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

1. E.J. Candes
2. Maryam Fazel
3. Donald B. Rubin
4. Rick Chartrand
5. Judea Pearl
6. Joseph L. Schafer
7. Stephen P. Boyd
8. Jian-Feng Cai
9. A. P. Dawid
10. Max Welling

Who trusts Karthika Mohan overall

1. Huan Li
2. Canyi Lu
3. J. Rohrer
4. Shuhang Gu
5. Zhouchen Lin
6. Jinhui Tang
7. Qi Xie
8. Yangyang Xu
9. Mark A. Davenport
10. Shuicheng Yan

Papers from Karthika Mohan's perspective

Ordered by how strongly the researchers Karthika Mohan 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Decoding by linear programming
7. Regression Shrinkage and Selection via the Lasso
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Iterative reweighted algorithms for matrix rank minimization (2012) — 380 citations
• Graphical Representation of Missing Data Problems (2015) — 76 citations
• Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data (2020) — 10 citations
• Missing Data as a Causal and Probabilistic Problem (2015) — 55 citations