Dominique Beaini
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 96 citations into it; #34,332 of 35,345 by trust here, #21,316 by citations
- Graph Learning — 47 citations into it
- Materials Chemistry — 40 citations into it; #10,833 of 11,513 by trust here, #9,794 by citations
- Computer Vision and Pattern Recognition — 37 citations into it; #21,089 of 21,575 by trust here, #16,787 by citations
- Model Architectures — 34 citations into it
- Statistical and Nonlinear Physics — 21 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Molecular Biology — 12 citations into it
Whom Dominique Beaini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xavier Bresson
- Vijay Prakash Dwivedi
- Yoshua Bengio
- Weihua Hu
- William L. Hamilton
- Geoffrey E. Hinton
- Alex Graves
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
Who trusts Dominique Beaini overall
Papers from Dominique Beaini's perspective
Ordered by how strongly the researchers Dominique Beaini 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Rethinking Graph Transformers with Spectral Attention (2021) — 808 citations
- Principal Neighbourhood Aggregation for Graph Nets (2020) — 873 citations
- Long Range Graph Benchmark (2022) — 345 citations
- Recipe for a General, Powerful, Scalable Graph Transformer (2022) — 1,075 citations