Nick Rossenbach

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Speech & Audio — 18 citations into it
• Signal Processing — 8 citations into it
• Natural Language Processing — 7 citations into it

Whom Nick Rossenbach trusts overall

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

1. Andros Tjandra
2. Alex Graves
3. Albert Zeyer
4. Sakriani Watiasri Sakti
5. Yoshua Bengio
6. Kazuki Irie
7. Geoffrey E. Hinton
8. Rico Sennrich
9. Dzmitry Bahdanau
10. Diederik P. Kingma

Who trusts Nick Rossenbach overall

1. Aleksandr Laptev
2. Sei Ueno

Papers from Nick Rossenbach's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
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

• Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems (2019) — 96 citations