Milos Cernak

Signal Processing · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Signal Processing — 15 citations into it; #5,743 of 7,572 by trust here, #6,355 by citations
• Artificial Intelligence — 13 citations into it; #27,211 of 35,345 by trust here, #30,347 by citations
• Speech & Audio — 12 citations into it

Whom Milos Cernak trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Heiga Zen
4. Dong Yu
5. P. Loizou
6. George E. Dahl
7. Simon Osindero
8. Cees H. Taal
9. Li Deng
10. Daniel Povey

Who trusts Milos Cernak overall

1. Srihari Kankanahalli
2. Kai Zhen
3. Cristina Garbacea
4. Alexandros Lazaridis
5. Jongmo Sung

Papers from Milos Cernak's perspective

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

Their papers

• Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding (2016) — 29 citations
• Phonological vocoding using artificial neural networks (2015) — 23 citations