Piotr Dura

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Speech & Audio — 21 citations into it
• Signal Processing — 20 citations into it
• Generative Models — 11 citations into it

Whom Piotr Dura trusts overall

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

1. Jaehyeon Kim
2. Adrian La'ncucki
3. Gautham J. Mysore
4. Jungil Kong
5. Jeff Donahue
6. Aäron van den Oord
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Ryan J. Prenger

Who trusts Piotr Dura overall

1. Hyeong-Seok Choi

Papers from Piotr Dura's perspective

Ordered by how strongly the researchers Piotr Dura 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. WaveNet: A Generative Model for Raw Audio
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• WavThruVec: Latent speech representation as intermediate features for neural speech synthesis (2022) — 39 citations