Robin Tibor Schirrmeister

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Optimization & Training — 13 citations into it
• Generative Models — 9 citations into it
• Model Architectures — 6 citations into it

Whom Robin Tibor Schirrmeister trusts overall

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

1. Diederik P. Kingma
2. G. Peyr'e
3. Alec Radford
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. Aäron van den Oord
8. Alex Krizhevsky
9. Tero Karras
10. Ishaan Gulrajani

Who trusts Robin Tibor Schirrmeister overall

1. Elnaz Lashgari
2. Anne Marie Delaney
3. Eoin Brophy
4. Yannick Roy

Papers from Robin Tibor Schirrmeister's perspective

Ordered by how strongly the researchers Robin Tibor Schirrmeister trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Accurate predictions on small data with a tabular foundation model (2025) — 1,171 citations
• EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals (2018) — 286 citations