Raul Fernandez

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #13,484 of 35,345 by trust here, #16,471 by citations
• Signal Processing — 16 citations into it; #2,705 of 7,572 by trust here, #2,743 by citations
• Speech & Audio — 10 citations into it
• Model Architectures — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Raul Fernandez trusts overall

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

1. Geoffrey E. Hinton
2. Felix Alexander Gers
3. J. Urgen Schmidhuber
4. Sepp Hochreiter
5. Alex Graves
6. Diederik P. Kingma
7. Martin A. Riedmiller
8. Heiga Zen
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Raul Fernandez overall

1. Heiga Zen
2. J. Urgen Schmidhuber
3. Li Deng
4. Shinji Takaki
5. Zhaoxi Mu
6. Junichi Yamagishi
7. Linghui Chen
8. Weitong Guo
9. Takuma Okamoto
10. Dong Yu

Papers from Raul Fernandez's perspective

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

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

Their papers

• F0 contour prediction with a deep belief network-Gaussian process hybrid model (2013) — 38 citations
• Supervised and unsupervised approaches for controlling narrow lexical focus in sequence-to-sequence speech synthesis (2021) — 19 citations
• Prosody contour prediction with long short-term memory, bi-directional, deep recurrent neural networks (2014) — 89 citations