Kaan Öcal

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #20,395 of 35,345 by trust here, #24,417 by citations
• Statistics and Probability — 10 citations into it; #7,532 of 12,932 by trust here, #6,853 by citations
• Probabilistic & Bayesian Methods — 8 citations into it; #1,065 of 1,525 by trust here, #1,136 by citations

Whom Kaan Öcal trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Edward Meeds
4. MARK A. Beaumont
5. Simon N. Wood

Who trusts Kaan Öcal overall

1. Joeri Hermans

Papers from Kaan Öcal's perspective

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

1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Practical Variational Inference for Neural Networks
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Their papers

• Flexible statistical inference for mechanistic models of neural dynamics (2017) — 334 citations