Peter A. Boncz

Computer Networks and Communications · 2005–2018

A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Peter A. Boncz trusts overall

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

  1. Wolfgang Meier
  2. Thomas Neumann
  3. Nicolas Bruno
  4. David J. DeWitt
  5. Albrecht Schmidt
  6. Nick Koudas
  7. Mark D. Hill

Who trusts Peter A. Boncz overall

  1. Daniel J. Abadi
  2. Mark Raasveldt
  3. Shoumik Palkar
  4. Samuel Madden
  5. Marcin Zukowski
  6. Cathrin Weiss
  7. Stratos Idreos
  8. Thomas Neumann
  9. Hannes Mühleisen
  10. Matei A. Zaharia

Papers from Peter A. Boncz's perspective

Ordered by how strongly the researchers Peter A. Boncz 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. On supporting containment queries in relational database management systems (ACM SIGMOD Conference)
  4. Overcoming catastrophic forgetting in neural networks
  5. Structural joins: a primitive for efficient XML query pattern matching (Proceedings / International Conference on Data Engineering)
  6. On Calibration of Modern Neural Networks
  7. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
  8. LEO - DB2's LEarning Optimizer (Very Large Data Bases Conference)
  9. MonetDB/X100: Hyper-Pipelining Query Execution (Conference on Innovative Data Systems Research)
  10. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Their papers