C. Gilvary
Computational Theory and Mathematics · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 68 citations into it
- Molecular Biology — 62 citations into it
- Artificial Intelligence — 51 citations into it
- Materials Chemistry — 40 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Graph Learning — 21 citations into it
- Radiology, Nuclear Medicine and Imaging — 17 citations into it
- Generative Models — 10 citations into it
Whom C. Gilvary trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Kipf
- Geoffrey E. Hinton
- Oriol Vinyals
- Marwin H. S. Segler
- Yann LeCun
- Nicola De Cao
- Anika Cheerla
- Diederik P. Kingma
- Yoshua Bengio
- Hanjun Dai
Papers from C. Gilvary's perspective
Ordered by how strongly the researchers C. Gilvary 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Graph convolutional networks for computational drug development and discovery (2019) — 382 citations
- Artificial Intelligence in Cancer Research and Precision Medicine (2021) — 516 citations