Yuma Koizumi
Signal Processing · 2022
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 60 citations into it; #4,361 of 7,572 by trust here, #5,086 by citations
- Artificial Intelligence — 55 citations into it; #21,206 of 35,345 by trust here, #25,809 by citations
- Speech & Audio — 32 citations into it
- Generative Models — 31 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Yuma Koizumi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Heiga Zen
- Jonathan Ho
- Yoshua Bengio
- Aäron van den Oord
- Jimmy Ba
- Alex Krizhevsky
- Alex Graves
- Nal Kalchbrenner
Who trusts Yuma Koizumi overall
- Cong Han
- Yanli Li
- Vinay S. Raghavan
- Alexander H. Liu
- Congyi Wang
- Gavin Mischler
- Nima Mesgarani
- Kohei Yatabe
Papers from Yuma Koizumi's perspective
Ordered by how strongly the researchers Yuma Koizumi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)