Vladimir Yu. Kiselev
Molecular Biology · 2016–2021
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 131 citations into it; #5,992 of 17,773 by trust here, #5,137 by citations
- Cancer Research — 28 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Vladimir Yu. Kiselev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Santo Fortunato
- L. V. D. van der Maaten
- Wei Vivian Li
- Christopher S. McGinnis
- Geoffrey E. Hinton
- F. Alexander Wolf
- Junjie Zhu
- Sheel Shah
- Kok Hao Chen
- Andrea Lancichinetti
Who trusts Vladimir Yu. Kiselev overall
- Aleksandr Ianevski
- Yuqi Tan
- Pavlin Gregor Policar
- Luke Zappia
- Anil K. Giri
- Omer Sagi
- Geng Chen
- Patrick Cahan
- Peijie Lin
- Hyunghoon Cho
Papers from Vladimir Yu. Kiselev's perspective
Ordered by how strongly the researchers Vladimir Yu. Kiselev 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)
- Gradient-based learning applied to document 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)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SC3 - consensus clustering of single-cell RNA-Seq data (2016) — 1,337 citations
- Single-cell multi-omics analysis of the immune response in COVID-19 (2021) — 626 citations
- scmap: projection of single-cell RNA-seq data across data sets (2018) — 634 citations
- Challenges in unsupervised clustering of single-cell RNA-seq data (2019) — 1,049 citations
- The human body at cellular resolution: the NIH Human Biomolecular Atlas Program (2019) — 537 citations