Viktor Leis

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Viktor Leis trusts overall

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

  1. Thomas Neumann
  2. Yannis E. Ioannidis
  3. Alfons Kemper
  4. Changkyu Kim
  5. Peter A. Boncz
  6. Jatin Chhugani

Who trusts Viktor Leis overall

  1. Hao Zhang
  2. Ryan Marcus
  3. Sanjay Krishnan
  4. Andreas Kipf
  5. Gang Chen

Papers from Viktor Leis's perspective

Ordered by how strongly the researchers Viktor Leis 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. Rethinking the Inception Architecture for Computer Vision
  3. LEO - DB2's LEarning Optimizer (Very Large Data Bases Conference)
  4. FAST: fast architecture sensitive tree search on modern CPUs and GPUs (SIGMOD Conference)
  5. Overcoming catastrophic forgetting in neural networks
  6. MonetDB/X100: Hyper-Pipelining Query Execution (Conference on Innovative Data Systems Research)
  7. CORDS: automatic discovery of correlations and soft functional dependencies (ACM SIGMOD Conference)
  8. On Calibration of Modern Neural Networks
  9. The History of Histograms (abridged) (Very Large Data Bases Conference)
  10. Efficiently Compiling Efficient Query Plans for Modern Hardware (Proceedings of the VLDB Endowment)

Their papers