Rob D. Hesselink
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #32,496 of 35,345 by trust here, #24,417 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Materials Chemistry — 17 citations into it; #9,472 of 11,513 by trust here, #9,794 by citations
- Model Architectures — 16 citations into it
- Computational Theory and Mathematics — 12 citations into it
- Graph Learning — 10 citations into it
- Computational Chemistry & Drug Discovery — 7 citations into it
Whom Rob D. Hesselink trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Johannes Klicpera
- Max Welling
- Taco Cohen
- Erik J. Bekkers
- Risi Kondor
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
Who trusts Rob D. Hesselink overall
Papers from Rob D. Hesselink's perspective
Ordered by how strongly the researchers Rob D. Hesselink 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Geometric and Physical Quantities improve E(3) Equivariant Message Passing (2021) — 323 citations