Manuel Watter
Reinforcement Learning · 2015
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 452 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 16 citations into it; #360 of 2,242 by trust here, #445 by citations
- Artificial Intelligence — 14 citations into it; #2,415 of 35,345 by trust here, #4,747 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #2,031 of 21,575 by trust here, #3,598 by citations
- Generative Models — 9 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Cognitive Neuroscience — 5 citations into it
- Control and Systems Engineering — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Manuel Watter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Sergey Levine
- Alex Krizhevsky
- Michael I. Jordan
- Marc Toussaint
- Danilo Jimenez Rezende
- Max Welling
- Yann LeCun
Who trusts Manuel Watter overall
- Sergey Levine
- Chelsea Finn
- Pieter Abbeel
- Hao Wang
- Amy Zhang
- Trevor Darrell
- Yoshua Bengio
- David R Ha
- Shixiang Shane Gu
- Pierre Sermanet
Papers from Manuel Watter's perspective
Ordered by how strongly the researchers Manuel Watter trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images (2015) — 915 citations