Eugene A. Golikov
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #19,679 of 35,345 by trust here, #34,943 by citations
- Scaling & Learning Theory — 10 citations into it; #265 of 428 by trust here, #424 by citations
- Statistical and Nonlinear Physics — 7 citations into it; #5,054 of 10,127 by trust here, #9,953 by citations
- Statistical Learning Theory — 5 citations into it; #750 of 1,038 by trust here, #1,037 by citations
Whom Eugene A. Golikov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Justin A. Sirignano
- Lénaïc Chizat
- Song Mei
- Arthur Jacot
- Francis R. Bach
- Jaehoon Lee
- Konstantinos Spiliopoulos
- Adam Paszke
- Andrea Montanari
- Franck Gabriel
Who trusts Eugene A. Golikov overall
Papers from Eugene A. Golikov's perspective
Ordered by how strongly the researchers Eugene A. Golikov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Dynamically Stable Infinite-Width Limits of Neural Classifiers (2020) — 10 citations