Lamtharn Hantrakul
Signal Processing · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 28 citations into it; #4,964 of 7,572 by trust here, #3,099 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #14,825 of 21,575 by trust here, #12,172 by citations
- Artificial Intelligence — 17 citations into it
- Generative Models — 12 citations into it
Whom Lamtharn Hantrakul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jesse Engel
- Aäron van den Oord
- Karen Simonyan
- Geoffrey E. Hinton
- Kaiming He
- Nal Kalchbrenner
- Diederik P. Kingma
- Yoshua Bengio
- Jong Wook Kim
- Alex Graves
Who trusts Lamtharn Hantrakul overall
- Adam Polyak
- Jesse Engel
- Lior Wolf
- Antoine Caillon
- Ollie McCarthy
- Neil Zeghidour
- Hyeong-Seok Choi
- Ahmed Omran
- Zhijun Liu
- Yossi Adi
Papers from Lamtharn Hantrakul's perspective
Ordered by how strongly the researchers Lamtharn Hantrakul trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- DDSP: Differentiable Digital Signal Processing (2020) — 489 citations
- Fast and Flexible Neural Audio Synthesis (2019) — 35 citations