Yuansi Chen
Statistics and Probability · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 101 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 21 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #16,877 of 21,575 by trust here, #20,756 by citations
- Computational Mechanics — 9 citations into it
- Mathematical Physics — 8 citations into it
- Applied Mathematics — 7 citations into it; #3,778 of 7,620 by trust here, #6,655 by citations
- Artificial Intelligence — 7 citations into it
- Optimization & Training — 6 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Yuansi Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Grigoris Paouris
- Emanuel Milman
- Gareth O. Roberts
- Li Fei-Fei
- Francis R. Bach
- Julien Mairal
- Yann LeCun
- Radford M. Neal
- Geoffrey E. Hinton
- Marc'Aurelio Ranzato
Who trusts Yuansi Chen overall
- Bo'az Klartag
- Joseph Lehec
- Julien Mairal
- Yale Song
- Francis R. Bach
- Jeff Z. HaoChen
- Yuling Yao
- Jordi Vallmitjana
- Chenyue Wu
Papers from Yuansi Chen's perspective
Ordered by how strongly the researchers Yuansi Chen 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fast and Robust Archetypal Analysis for Representation Learning (2014) — 124 citations
- Log-concave sampling: Metropolis-Hastings algorithms are fast! (2018) — 294 citations
- An Almost Constant Lower Bound of the Isoperimetric Coefficient in the KLS Conjecture (2020) — 145 citations