Tamás Gábor Csapó

Artificial Intelligence · 2023

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

• Artificial Intelligence — 19 citations into it
• Signal Processing — 12 citations into it
• Speech & Audio — 11 citations into it

Whom Tamás Gábor Csapó trusts overall

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

1. Yuxuan Wang
2. Sergey Ioffe
3. Daisy Stanton
4. Jaime Lorenzo-Trueba
5. R. Skerry-Ryan
6. Jaehyeon Kim
7. Masanori Morise
8. Ryuichi Yamamoto
9. Christian Szegedy
10. Ashish Vaswani

Papers from Tamás Gábor Csapó's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Layer Normalization
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. WaveNet: A Generative Model for Raw Audio

Their papers

• Nonparallel Expressive TTS for Unseen Target Speaker using Style-Controlled Adaptive Layer and Optimized Pitch Embedding (2023)