Thomas Gaudelet

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Graph Learning — 38 citations into it

Whom Thomas Gaudelet trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Petar Velickovic
5. Tomas Mikolov
6. Yann LeCun
7. Thomas Kipf
8. Alex Krizhevsky
9. Jure Leskovec
10. Max Welling

Who trusts Thomas Gaudelet overall

1. Anastasiia V. Sadybekov

Papers from Thomas Gaudelet's perspective

Ordered by how strongly the researchers Thomas Gaudelet 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Utilizing graph machine learning within drug discovery and development (2021) — 308 citations