Marc Nunkesser

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #28,096 of 35,345 by trust here, #30,347 by citations
• Computer Networks and Communications — 5 citations into it; #7,718 of 9,886 by trust here, #8,191 by citations

Whom Marc Nunkesser trusts overall

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

1. Philippe Flajolet
2. Daniel M. Kane
3. Rob Pike
4. Ziv Bar-Yossef

Who trusts Marc Nunkesser overall

1. Florian P. Breitwieser
2. Seung Geol Choi
3. Tom Diethe
4. Sebastian Schelter

Papers from Marc Nunkesser's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Bitmap algorithms for counting active flows on high speed links (ACM/SIGCOMM Internet Measurement Conference)
3. Counting Distinct Elements in a Data Stream (International Workshop Randomization and Approximation Techniques in Computer Science)
4. Graph Attention Networks (International Conference on Learning Representations)
5. Geometric Deep Learning: Going beyond Euclidean data
6. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
7. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
8. Relational inductive biases, deep learning, and graph networks
9. Loglog counting of large cardinalities
10. Variational Graph Auto-Encoders

Their papers

• ETA Prediction with Graph Neural Networks in Google Maps (2021) — 295 citations
• HyperLogLog in practice: algorithmic engineering of a state of the art cardinality estimation algorithm (2013) — 347 citations