Francesco Paolo Casale
Molecular Biology · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 103 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 60 citations into it; #16,979 of 17,773 by trust here, #5,601 by citations
- Artificial Intelligence — 25 citations into it; #27,677 of 35,345 by trust here, #23,077 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #16,977 of 21,575 by trust here, #15,162 by citations
- Model Architectures — 12 citations into it
- Immunology — 10 citations into it; #2,011 of 2,160 by trust here, #961 by citations
- Efficiency & Compression — 7 citations into it
Whom Francesco Paolo Casale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Diederik P. Kingma
- Yoshua Bengio
- Christian Szegedy
- Geoffrey E. Hinton
- Sergey Ioffe
- Karen Simonyan
- Alex Krizhevsky
- Quoc V. Le
- Kaiming He
Who trusts Francesco Paolo Casale overall
- Yuhui Xu
- Martin Wistuba
- Niv Nayman
- Lingxi Xie
- Arber Zela
- Ambrish Rawat
- Xiaopeng Zhang
- Asaf Noy
- Cole Trapnell
- Xin Chen
Papers from Francesco Paolo Casale's perspective
Ordered by how strongly the researchers Francesco Paolo Casale 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Probabilistic Neural Architecture Search (2019) — 79 citations
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (2015) — 1,153 citations
- Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells (2016) — 619 citations
- An integrated map of structural variation in 2,504 human genomes (2015) — 2,247 citations