Marco Cote
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 60 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #2,878 of 35,345 by trust here, #17,776 by citations
- Probabilistic & Bayesian Methods — 13 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it; #3,274 of 21,575 by trust here, #11,950 by citations
- Generative Models — 8 citations into it; #211 of 1,956 by trust here, #1,315 by citations
Whom Marco Cote trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Danilo Jimenez Rezende
- Shakir Mohamed
- Max Welling
- Tim Salimans
- Geoffrey E. Hinton
- Alex Graves
- Rajesh Ranganath
- David John Cameron MacKay
- Michael I. Jordan
Who trusts Marco Cote overall
- Samuel Kessler
- J. Tomczak
- Nikhil Mehta
- Luca Falorsi
- Tim R. Davidson
- Abhishek Kumar
- Kai Xu
- Jasmijn Bastings
- Konstantinos P. Panousis
- Cheng Zhang
Papers from Marco Cote's perspective
Ordered by how strongly the researchers Marco Cote 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Stick-Breaking Variational Autoencoders (2016) — 178 citations