Yuuna Hoshi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #20,418 of 35,345 by trust here, #20,377 by citations
• Generative Models — 5 citations into it

Whom Yuuna Hoshi trusts overall

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

1. Justin Bayer
2. Sepp Hochreiter
3. Pascal Vincent
4. Yoshua Bengio
5. Lovekesh Vig
6. J. Urgen Schmidhuber
7. Maximilian Karl
8. Kuniaki Noda
9. Diederik P. Kingma
10. Geoffrey E. Hinton

Who trusts Yuuna Hoshi overall

1. Ailin Deng
2. Shreshth Tuli
3. Ya Su
4. Jiehui Xu
5. Kukjin Choi
6. Benjamin Lindemann
7. Yiyuan Yang
8. Zekai Chen
9. Astha Garg
10. André Listou Ellefsen

Papers from Yuuna Hoshi's perspective

Ordered by how strongly the researchers Yuuna Hoshi 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. This PDF file includes: Materials and Methods
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Extracting and composing robust features with denoising autoencoders
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder (2017) — 1,066 citations