Ruud J. G. van Sloun

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Ruud J. G. van Sloun trusts overall

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

1. Diederik P. Kingma

Papers from Ruud J. G. van Sloun's perspective

Ordered by how strongly the researchers Ruud J. G. van Sloun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Learning Deep Architectures for AI
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics (2021) — 576 citations