Matthias Minihold

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #30,472 of 35,345 by trust here, #22,463 by citations
• Computational Theory and Mathematics — 9 citations into it; #10,569 of 12,182 by trust here, #5,724 by citations

Whom Matthias Minihold trusts overall

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

1. Yann LeCun

Who trusts Matthias Minihold overall

1. Adrià Gascón
2. Matt J. Kusner

Papers from Matthias Minihold's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The mnist database of handwritten digits
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. On Ideal Lattices and Learning with Errors over Rings
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Fast Homomorphic Evaluation of Deep Discretized Neural Networks (2018) — 358 citations