Shyam Visweswaran
Artificial Intelligence · 2015–2020
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #18,173 of 35,345 by trust here, #21,878 by citations
- Statistics and Probability — 21 citations into it; #6,573 of 12,932 by trust here, #8,279 by citations
- Molecular Biology — 10 citations into it
- Statistical Learning Theory — 7 citations into it
Whom Shyam Visweswaran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arthur Gretton
- Tom L. Burr
- Kenji Fukumizu
- Bernhard Schölkopf
- Ali Rahimi
- Liangjun Su
- Richard E. Neapolitan
- Olivier Bodenreider
- Kun Zhang
- Danica J. Sutherland
Who trusts Shyam Visweswaran overall
Papers from Shyam Visweswaran's perspective
Ordered by how strongly the researchers Shyam Visweswaran trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Random Features for Large-Scale Kernel Machines
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- Causation, Prediction, and Search
- Learning internal representations by error propagation
Their papers
- Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery (2017) — 219 citations
- Automated annotation and classification of BI-RADS assessment from radiology reports (2017) — 82 citations
- The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment (2020) — 477 citations
- Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. (2019) — 1,252 citations
- Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports (2015) — 84 citations