Umut Güçlü

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 163 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 118 citations into it
• Computer Vision and Pattern Recognition — 106 citations into it
• Cognitive Neuroscience — 31 citations into it; #2,072 of 10,852 by trust here, #3,487 by citations
• Safety, Robustness & Interpretability — 28 citations into it
• Model Architectures — 21 citations into it
• Signal Processing — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Biophysics — 10 citations into it

Whom Umut Güçlü trusts overall

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

1. Geoffrey E. Hinton
2. Matthew D. Zeiler
3. Karen Simonyan
4. Alex Krizhevsky
5. Rob Fergus
6. Thomas Naselaris
7. Andrew Zisserman
8. Jia Deng
9. Seyed-Mahdi Khaligh-Razavi
10. Kendrick Norris Kay

Who trusts Umut Güçlü overall

1. Charlotte Caucheteux
2. Nikolaus Kriegeskorte
3. Leon A. Gatys
4. Jonas Kubilius
5. Grace W. Lindsay
6. Santiago A. Cadena
7. Michael Eickenberg
8. Daniel L. K. Yamins
9. Jean-Remi King
10. Alexander S. Ecker

Papers from Umut Güçlü's perspective

Ordered by how strongly the researchers Umut Güçlü 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Explainable and Interpretable Models in Computer Vision and Machine Learning (2017) — 117 citations
• Visualizing Apparent Personality Analysis with Deep Residual Networks (2017) — 21 citations
• Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream (2014) — 1,002 citations