Siddhartha Jain
Molecular Biology · 2017
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 25 citations into it; #8,728 of 17,773 by trust here, #13,563 by citations
- Cancer Research — 5 citations into it
Whom Siddhartha Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Siddhartha Jain overall
Papers from Siddhartha Jain's perspective
Ordered by how strongly the researchers Siddhartha Jain trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Learning a similarity metric discriminatively, with application to face verification
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Why Does Unsupervised Pre-training Help Deep Learning?
- Gradient-based learning applied to document recognition
- Multilayer feedforward networks are universal approximators
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing (Nature Neuroscience)
- Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (Nature Biotechnology)
Their papers
- Using neural networks for reducing the dimensions of single-cell RNA-Seq data (2017) — 183 citations