Sriram Sankararaman
Genetics · 2013–2017
A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 71 citations into it
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Optimization & Training — 8 citations into it
- Statistical Learning Theory — 7 citations into it
Whom Sriram Sankararaman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sriram Sankararaman's perspective
Ordered by how strongly the researchers Sriram Sankararaman trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Using the Nyström Method to Speed Up Kernel Machines
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- On the limited memory BFGS method for large scale optimization
- Long Short-Term Memory
- Parseval Networks: Improving Robustness to Adversarial Examples
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Biological Sequence Modeling with Convolutional Kernel Networks (2017) — 178 citations
- Colocalization of GWAS and eQTL Signals Detects Target Genes (2016) — 671 citations
- The Simons Genome Diversity Project: 300 genomes from 142 diverse populations (2016) — 1,396 citations
- Estimating and interpreting FST: The impact of rare variants (2013) — 605 citations
- The complete genome sequence of a Neandertal from the Altai Mountains (2013) — 1,650 citations
- Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico (2013) — 472 citations