Gowtham Atluri
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Signal Processing — 38 citations into it; #5,945 of 7,572 by trust here, #7,324 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Information Systems — 19 citations into it; #6,468 of 8,771 by trust here, #2,145 by citations
- Statistics and Probability — 19 citations into it
- Global and Planetary Change — 14 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Cognitive Neuroscience — 13 citations into it
Whom Gowtham Atluri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eamonn J. Keogh
- Anuj Karpatne
- Martin Kulldorff
- Mark Newman
- Ankush Khandelwal
- Geoffrey E. Hinton
- Everette S. Gardner Jr.
- Peter J. Diggle
- Robert Fildes
- Tak-Chung Fu
Who trusts Gowtham Atluri overall
Papers from Gowtham Atluri's perspective
Ordered by how strongly the researchers Gowtham Atluri trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016) — 1,347 citations
- Spatio-Temporal Data Mining (2017) — 301 citations