Andreas Venzke
IEEE Power & Energy Society General Meeting · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Andreas Venzke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Andreas Venzke overall
Papers from Andreas Venzke's perspective
Ordered by how strongly the researchers Andreas Venzke trusts endorse each paper. Same corpus, a different order for every researcher.
- Automatic differentiation in machine learning: a survey
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Neural Ordinary Differential Equations
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
Their papers
- Physics-Informed Neural Networks for Power Systems (2019) — 327 citations