Rajiv Narayan
Statistical and Nonlinear Physics · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 21 citations into it
- Artificial Intelligence — 20 citations into it; #32,048 of 35,345 by trust here, #20,836 by citations
- Representation & Self-Supervised Learning — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Rajiv Narayan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- David E. Rumelhart
- Alex Krizhevsky
- Pascal Vincent
- Pierre Baldi
- Richard Socher
- Ilya Sutskever
- Andrew Y. Ng
- Yann LeCun
Who trusts Rajiv Narayan overall
Papers from Rajiv Narayan's perspective
Ordered by how strongly the researchers Rajiv Narayan 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Deep Architectures for AI
Their papers
- Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases (2018) — 30 citations
- Assessment of network module identification across complex diseases (2019) — 268 citations
- Gene expression inference with deep learning (2015) — 395 citations
- A Next Generation Connectivity Map: L1000 platform and the first 1,000,000 profiles (2017) — 2,985 citations
- The Drug Repurposing Hub: a next-generation drug library and information resource (2017) — 904 citations
- Discovering the anti-cancer potential of non-oncology drugs by systematic viability profiling (2020) — 711 citations