Janusz Klejsa

Signal Processing · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 21 citations into it; #5,353 of 7,572 by trust here, #3,309 by citations
• Speech & Audio — 15 citations into it; #779 of 1,076 by trust here, #783 by citations
• Artificial Intelligence — 14 citations into it

Whom Janusz Klejsa trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Sugato Chakravarty
4. Cassia Valentini-Botinhao
5. Ronald J. Williams
6. Jimmy Ba
7. Aäron van den Oord
8. Ilya Sutskever
9. Jean-Marc Valin
10. Yoshua Bengio

Who trusts Janusz Klejsa overall

1. Jan Skoglund
2. Jean-Marc Valin
3. Felicia S. C. Lim
4. Haici Yang
5. Roy Fejgin
6. W. Kleijn
7. Xue Jiang
8. Michael Chinen
9. Yang Ai
10. Wootaek Lim

Papers from Janusz Klejsa's perspective

Ordered by how strongly the researchers Janusz Klejsa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Source Coding of Audio Signals with a Generative Model (2020) — 17 citations
• High-quality Speech Coding with Sample RNN (2018) — 63 citations
• AC-4 – The Next Generation Audio Codec (2016) — 20 citations