Martin Ulmke
IEEE Transactions on Aerospace and Electronic Systems · 2006
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 Martin Ulmke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Martin Ulmke's perspective
Ordered by how strongly the researchers Martin Ulmke trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo Methods in Practice
- Ground target tracking with variable structure IMM estimator (IEEE Transactions on Aerospace and Electronic Systems)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Layer Normalization
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Asynchronous Methods for Deep Reinforcement Learning
- A Fast Learning Algorithm for Deep Belief Nets
Their papers
- Road-map assisted ground moving target tracking (2006) — 203 citations