Philipp-Jan Honysz

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #27,998 of 35,345 by trust here, #34,943 by citations

Whom Philipp-Jan Honysz trusts overall

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

1. Jeffrey Scott Vitter
2. Andreas Krause
3. George L. Nemhauser
4. Neil D. Lawrence
5. Niv Buchbinder
6. Ashwinkumar Badanidiyuru
7. Ryne Roady

Who trusts Philipp-Jan Honysz overall

1. Marwa El Halabi

Papers from Philipp-Jan Honysz's perspective

Ordered by how strongly the researchers Philipp-Jan Honysz trusts endorse each paper. Same corpus, a different order for every researcher.

1. An analysis of approximations for maximizing submodular set functions—I
2. Maximizing Non-Monotone Submodular Functions
3. PyTorch: An Imperative Style, High-Performance Deep Learning Library
4. Random sampling with a reservoir
5. Streaming submodular maximization: massive data summarization on the fly
6. Fast Sparse Gaussian Process Methods: The Informative Vector Machine
7. Submodular Function Maximization
8. Submodularity in Data Subset Selection and Active Learning
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Online Submodular Maximization with Preemption

Their papers

• Very Fast Streaming Submodular Function Maximization (2020) — 10 citations