Gregor Ulm

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Gregor Ulm trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. H. Brendan McMahan
2. Yushi Wang
3. Yann LeCun

Papers from Gregor Ulm's perspective

Ordered by how strongly the researchers Gregor Ulm trusts endorse each paper. Same corpus, a different order for every researcher.

1. The mnist database of handwritten digits
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Communication-Efficient Learning of Deep Networks from Decentralized Data
5. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning Multiple Layers of Features from Tiny Images
10. CO-OP: Cooperative Machine Learning from Mobile Devices

Their papers

• A Performance Evaluation of Federated Learning Algorithms (2018) — 325 citations
• Functional Federated Learning in Erlang (ffl-erl) (2018) — 21 citations