Nihat Ay

Artificial Intelligence · 2007–2013

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

Subfields

• Artificial Intelligence — 9 citations into it; #18,007 of 35,345 by trust here, #25,040 by citations

Whom Nihat Ay trusts overall

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

1. Calyampudi R. Rao
2. Geoffrey E. Hinton
3. Shun-ichi Amari
4. Ilya Sutskever
5. David M. Blei
6. Simon Osindero
7. Yoshua Bengio
8. Nicolas Le Roux

Who trusts Nihat Ay overall

1. Guido Montúfar
2. Asja Fischer
3. David Lusseau

Papers from Nihat Ay's perspective

Ordered by how strongly the researchers Nihat Ay 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. A Fast Learning Algorithm for Deep Belief Nets
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines (2010) — 96 citations
• Quantifying unique information (2013) — 342 citations
• Information geometry and sufficient statistics (2012) — 109 citations
• Robustness and complexity co-constructed in multimodal signalling networks (2007) — 80 citations