Timo Ropinski

Computational Mechanics · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 23 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Molecular Biology — 21 citations into it
• Geology — 18 citations into it
• Computational Biology & Bioinformatics — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Graph Learning — 7 citations into it

Whom Timo Ropinski trusts overall

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

1. Geoffrey E. Hinton

Papers from Timo Ropinski's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Densely Connected Convolutional Networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Efficient Estimation of Word Representations in Vector Space
10. Long Short-Term Memory

Their papers

• Monte Carlo convolution for learning on non-uniformly sampled point clouds (2018) — 282 citations
• Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures (2021) — 124 citations