Danilo Comminiello
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it; #13,856 of 21,575 by trust here, #13,542 by citations
- Optimization & Training — 16 citations into it
- Statistics and Probability — 7 citations into it
- Computational Mechanics — 5 citations into it; #6,774 of 10,001 by trust here, #4,749 by citations
Whom Danilo Comminiello trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Xavier Glorot
- Diederik P. Kingma
- Yann LeCun
- Robert Tibshirani
- Jerome H. Friedman
- Alex Krizhevsky
- Francis R. Bach
- Kaiming He
Who trusts Danilo Comminiello overall
Papers from Danilo Comminiello's perspective
Ordered by how strongly the researchers Danilo Comminiello trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- 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)
- Going deeper with convolutions
Their papers
- Group sparse regularization for deep neural networks (2016) — 500 citations
- Differentiable Branching In Deep Networks for Fast Inference (2020) — 32 citations