Timo Gerkmann
Signal Processing · 2012–2022
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 36 citations into it; #2,162 of 7,572 by trust here, #3,198 by citations
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Cognitive Neuroscience — 14 citations into it; #4,719 of 10,852 by trust here, #8,899 by citations
- Computational Mechanics — 12 citations into it; #2,864 of 10,001 by trust here, #4,039 by citations
Whom Timo Gerkmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rainer Martin
- Israel Cohen
- Sundarrajan Rangachari
- Deliang Wang
- Xinglei Zhu
- Jae S. Lim
- P. Loizou
- Jonathan Le Roux
- Kuldip K. Paliwal
- Gerald Beauregard
Who trusts Timo Gerkmann overall
- Zhong-Qiu Wang
- Zheng-Hua Tan
- Jonathan Le Roux
- Qiquan Zhang
- Deliang Wang
- Aaron Nicolson
- Jean-Marc Valin
- John R. Hershey
- Achintya kr. Sarkar
- Donald S. Williamson
Papers from Timo Gerkmann's perspective
Ordered by how strongly the researchers Timo Gerkmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Speech Enhancement Using a-Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Rectified Linear Units Improve Restricted Boltzmann Machines
Their papers
- Speech Enhancement and Dereverberation With Diffusion-Based Generative Models (2022) — 389 citations
- Phase Processing for Single-Channel Speech Enhancement: History and recent advances (2015) — 236 citations
- Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay (2012) — 555 citations