Maria I. Gorinova

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Statistical and Nonlinear Physics — 13 citations into it
• Model Architectures — 10 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Maria I. Gorinova trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Graves
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Yann LeCun
6. Alex Krizhevsky
7. Max Welling
8. Ilya Sutskever
9. Radford M. Neal
10. Kaiming He

Papers from Maria I. Gorinova's perspective

Ordered by how strongly the researchers Maria I. Gorinova trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• GRAND: Graph Neural Diffusion (2021) — 391 citations
• Effect Handling for Composable Program Transformations in Edward2 (2018) — 16 citations