Jose Gallego-Posada
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Efficiency & Compression — 20 citations into it
- Optimization & Training — 18 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Jose Gallego-Posada trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yann LeCun
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Max Welling
- Alex Smola
- Marco Cuturi
- Jimmy Ba
Who trusts Jose Gallego-Posada overall
Papers from Jose Gallego-Posada's perspective
Ordered by how strongly the researchers Jose Gallego-Posada 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- GAIT: A Geometric Approach to Information Theory (2019) — 12 citations
- Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints (2022) — 32 citations