Ramiro Daniel Camino
Generative Models · 2018
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Generative Models — 14 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #20,775 of 21,575 by trust here, #20,271 by citations
- Artificial Intelligence — 8 citations into it; #34,136 of 35,345 by trust here, #32,362 by citations
Whom Ramiro Daniel Camino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Individualized Treat
- Chris J. Maddison
- Eric Jang
- Max Welling
- Geoffrey E. Hinton
- Ishaan Gulrajani
- Andriy Mnih
- Yoshua Bengio
- Edward Choi
Who trusts Ramiro Daniel Camino overall
Papers from Ramiro Daniel Camino's perspective
Ordered by how strongly the researchers Ramiro Daniel Camino 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
- GENERATIVE ADVERSARIAL NETS
- 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)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Generating Multi-Categorical Samples with Generative Adversarial Networks (2018) — 82 citations