Robert Pinsler

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Reinforcement Learning — 16 citations into it

Whom Robert Pinsler trusts overall

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

1. Jan Peters
2. Richard S. Sutton
3. Andras Gabor Kupcsik
4. Andreas Krause
5. Carl E. Rasmussen
6. Andrew Y. Ng
7. Wei Chu
8. Marc Peter Deisenroth
9. Christopher K. I. Williams
10. Geoffrey E. Hinton

Papers from Robert Pinsler's perspective

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

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

Their papers

• Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences (2018) — 23 citations
• A generative model for inorganic materials design (2025) — 567 citations
• MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures (2024) — 240 citations