Simone A. Ludwig
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #29,450 of 35,345 by trust here, #31,361 by citations
- Natural Language Processing — 16 citations into it
- Signal Processing — 13 citations into it
- Model Architectures — 12 citations into it
- Molecular Biology — 7 citations into it; #12,960 of 17,773 by trust here, #17,670 by citations
- Speech & Audio — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Simone A. Ludwig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Yoshua Bengio
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Thorsten Joachims
- Ilya Sutskever
- Diederik P. Kingma
- Oriol Vinyals
- Dzmitry Bahdanau
- Sepp Hochreiter
Who trusts Simone A. Ludwig overall
Papers from Simone A. Ludwig's perspective
Ordered by how strongly the researchers Simone A. Ludwig 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization (2021) — 359 citations
- Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU (2019) — 510 citations
- Classification of Cancer Data: Analyzing Gene Expression Data Using a Fuzzy Decision Tree Algorithm (2018) — 41 citations