Maximilian Pichler

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Statistics and Probability — 21 citations into it
• Ecological Modeling — 16 citations into it
• Ecology — 15 citations into it
• Nature and Landscape Conservation — 12 citations into it
• Model Architectures — 10 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Maximilian Pichler trusts overall

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

1. Leo Breiman
2. Alex Krizhevsky
3. Robert E. Schapire
4. Judea Pearl
5. Geoffrey E. Hinton
6. M. Stone
7. Ilya Sutskever
8. Kaiming He
9. Yoshua Bengio
10. Yann LeCun

Papers from Maximilian Pichler's perspective

Ordered by how strongly the researchers Maximilian Pichler 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Machine learning and deep learning—A review for ecologists (2022) — 320 citations