Feras A. Saad
Probabilistic & Bayesian Methods · 2019
A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 40 citations into it
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Statistics and Probability — 7 citations into it
Whom Feras A. Saad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Geoffrey E. Hinton
- Vikash K. Mansinghka
- Gareth O. Roberts
- Josh Tenenbaum
- Michael I. Jordan
- Peter J. Green
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
Papers from Feras A. Saad's perspective
Ordered by how strongly the researchers Feras A. Saad 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Gen: a general-purpose probabilistic programming system with programmable inference (2019) — 213 citations