Recep Oguz Araz

Signal Processing · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 25 citations into it
• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Generative Models — 12 citations into it
• Speech & Audio — 11 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Recep Oguz Araz trusts overall

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

1. Yang Song
2. Aapo Hyvärinen
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Sargur N. Srihari
6. B.D.O. Anderson
7. Cassia Valentini-Botinhao
8. Yoshua Bengio

Papers from Recep Oguz Araz's perspective

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

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

Their papers

• Universal Speech Enhancement with Score-based Diffusion (2022) — 146 citations