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Andreas Kipf
Observed names:
Kipf, A. (Andreas),
Kipf, Andreas
Institution:
University of Technology Nuremberg
Observed institutions:
National Technological University,
Amazon (United States),
University of Technology Nuremberg,
MIT Computer Science and Artificial Intelligence Laboratory,
Technical University of Munich,
Massachusetts Institute of Technology,
University of California, Berkeley
show all 7
ORCID:
0000-0003-3463-0564
Observed ORCID:
0000-0003-3463-0564
OpenAlex ID:
A5046188245
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
2018
·
Kipf, Andreas
, Kipf, Thomas
, et al.
·
arXiv (Cornell University)
·
303
PDF
Benchmarking learned indexes
2020
·
Ryan Marcus
, Andreas Kipf
, et al.
·
Proceedings of the VLDB Endowment
·
181
PDF
RadixSpline
2020
·
Andreas Kipf
, Ryan Marcus
, et al.
·
International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)
·
173
PDF
How good are modern spatial analytics systems?
2018
·
Varun Pandey
, Andreas Kipf
, et al.
·
Proceedings of the VLDB Endowment
·
110
Flow-loss
2021
·
Parimarjan Negi
, Ryan Marcus
, et al.
·
Proceedings of the VLDB Endowment
·
107
PDF
Robust Query Driven Cardinality Estimation under Changing Workloads
2023
·
Parimarjan Negi
, Ziniu Wu
, et al.
·
Proceedings of the VLDB Endowment
·
89
SOSD: A Benchmark for Learned Indexes
2019
·
Kipf, Andreas
, Marcus, Ryan
, et al.
·
arXiv (Cornell University)
·
73
PDF
Why TPC is Not Enough: An Analysis of the Amazon Redshift Fleet
2024
·
Alexander van Renen
, Dominik Horn
, et al.
·
Proceedings of the VLDB Endowment
·
54
SemBench: A Benchmark for Semantic Query Processing Engines
2026
·
Jiale Lao
, Andreas Zimmerer
, et al.
·
Proceedings of the VLDB Endowment
·
47
TreeLine
2022
·
Geoffrey X. Yu
, Markos Markakis
, et al.
·
Proceedings of the VLDB Endowment
·
46
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory
2020
·
Philipp Fent
, Alexander van Renen
, et al.
·
IEEE International Conference on Data Engineering (ICDE)
·
44
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
2018
·
Andreas Kipf
, Thomas Kipf
, et al.
·
Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands
·
42
PDF
Estimating Cardinalities with Deep Sketches
2019
·
Andreas Kipf
, Dimitri Vorona
, et al.
·
ACM SIGMOD International Conference on Management of Data (SIGMOD)
·
36
PDF
The Case for Learned Spatial Indexes
2020
·
Pandey, Varun
, van Renen, Alexander
, et al.
·
arXiv (Cornell University)
·
33
PDF
RadixSpline: A Single-Pass Learned Index
2020
·
Kipf, Andreas
, Marcus, Ryan
, et al.
·
arXiv (Cornell University)
·
33
PDF
Towards Practical Learned Indexing
2021
·
Stoian, Mihail
, Kipf, Andreas
, et al.
·
arXiv (Cornell University)
·
31
PDF
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses
2024
·
Tobias Schmidt
, Andreas Kipf
, et al.
·
ACM SIGMOD International Conference on Management of Data (SIGMOD)
·
26
High-Performance Geospatial Analytics in HyPerSpace
2016
·
Varun Pandey
, Andreas Kipf
, et al.
·
ACM SIGMOD International Conference on Management of Data (SIGMOD)
·
23
SageDB
2022
·
Jialin Ding
, Ryan Marcus
, et al.
·
Proceedings of the VLDB Endowment
·
22
Intelligent Scaling in Amazon Redshift
2024
·
Vikram Nathan
, Vikramank Singh
, et al.
·
ACM SIGMOD International Conference on Management of Data (SIGMOD)
·
21
Can Learned Models Replace Hash Functions?
2022
·
Ibrahim Sabek
, Kapil Vaidya
, et al.
·
Proceedings of the VLDB Endowment
·
21
Bounding the Last Mile: Efficient Learned String Indexing
2021
·
Spector, Benjamin
, Kipf, Andreas
, et al.
·
arXiv (Cornell University)
·
20
PDF
A proposed integrated data collection, analysis and sharing platform for impact evaluation
2015
·
Andreas Kipf
, Waylon Brunette
, et al.
·
Development Engineering
·
20
Adaptive Hybrid Indexes
2022
·
Christoph Anneser
, Andreas Kipf
, et al.
·
ACM SIGMOD International Conference on Management of Data (SIGMOD)
·
18
How Good Are Modern Spatial Libraries?
2020
·
Varun Pandey
, Alexander van Renen
, et al.
·
Data Science and Engineering
·
18
PDF
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Works count:
87
Citation count:
1,868
H-index:
21
I10-index:
39
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