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Andreas Kipf
Andreas Kipf
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Titel
Zitiert von
Zitiert von
Jahr
Learned cardinalities: Estimating correlated joins with deep learning
A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper
Conference on Innovative Data Systems Research (CIDR-19), 2019
2292019
How good are modern spatial analytics systems?
V Pandey, A Kipf, T Neumann, A Kemper
Proceedings of the VLDB Endowment 11 (11), 1661-1673, 2018
802018
RadixSpline: a single-pass learned index
A Kipf, R Marcus, A van Renen, M Stoian, A Kemper, T Kraska, ...
Proceedings of the Third International Workshop on Exploiting Artificial …, 2020
532020
Benchmarking learned indexes
R Marcus, A Kipf, A van Renen, M Stoian, S Misra, A Kemper, T Neumann, ...
arXiv preprint arXiv:2006.12804, 2020
372020
A proposed integrated data collection, analysis and sharing platform for impact evaluation
A Kipf, W Brunette, J Kellerstrass, M Podolsky, J Rosa, M Sundt, D Wilson, ...
Development Engineering 1, 36-44, 2016
312016
SOSD: A benchmark for learned indexes
A Kipf, R Marcus, A van Renen, M Stoian, A Kemper, T Kraska, ...
NeurIPS Workshop on Machine Learning for Systems, 2019
292019
Estimating Cardinalities with Deep Sketches
A Kipf, D Vorona, J Müller, T Kipf, B Radke, V Leis, P Boncz, T Neumann, ...
Proceedings of the 2019 International Conference on Management of Data, 2019
282019
High-performance geospatial analytics in hyperspace
V Pandey, A Kipf, D Vorona, T Mühlbauer, T Neumann, A Kemper
Proceedings of the 2016 International Conference on Management of Data, 2145 …, 2016
262016
Adaptive main-memory indexing for high-performance point-polygon joins
A Kipf, H Lang, VN Pandey, RA Persa, C Anneser, ET Zacharatou, ...
22*2020
Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems.
A Kipf, V Pandey, J Böttcher, L Braun, T Neumann, A Kemper
EDBT, 49-60, 2017
222017
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines
H Lang, L Passing, A Kipf, P Boncz, T Neumann, A Kemper
The VLDB Journal 29 (2), 757-774, 2020
212020
The Case for Learned Spatial Indexes
V Pandey, A van Renen, A Kipf, I Sabek, J Ding, A Kemper
2nd International Workshop on Applied AI for Database Systems and Applications, 2020
192020
Low-latency communication for fast DBMS using RDMA and shared memory
P Fent, A van Renen, A Kipf, V Leis, T Neumann, A Kemper
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1477-1488, 2020
142020
Approximate geospatial joins with precision guarantees
A Kipf, H Lang, V Pandey, RA Persa, P Boncz, T Neumann, A Kemper
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1360-1363, 2018
132018
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning
D Vorona, A Kipf, T Neumann, A Kemper
27th ACM SIGSPATIAL International Conference on Advances in Geographic …, 2019
122019
Estimating Filtered Group-By Queries is Hard: Deep Learning to the Rescue
A Kipf, M Freitag, D Vorona, P Boncz, T Neumann, A Kemper
1st International Workshop on Applied AI for Database Systems and Applications, 2019
102019
Flow-Loss: learning cardinality estimates that matter
P Negi, R Marcus, A Kipf, H Mao, N Tatbul, T Kraska, M Alizadeh
arXiv preprint arXiv:2101.04964, 2021
92021
Scalable analytics on fast data
A Kipf, V Pandey, J Böttcher, L Braun, T Neumann, A Kemper
ACM Transactions on Database Systems (TODS) 44 (1), 1-35, 2019
82019
The Case for Distance-Bounded Spatial Approximations
E Tzirita Zacharatou, A Kipf, I Sabek, V Pandey, H Doraiswamy, V Markl
Conference on Innovative Data Systems Research (CIDR-21), 2021
7*2021
High-performance main-memory database systems and modern virtualization: Friends or foes?
T Mühlbauer, W Rödiger, A Kipf, A Kemper, T Neumann
Proceedings of the Fourth Workshop on Data analytics in the Cloud, 1-4, 2015
62015
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