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ORCIDAndreas Kipf
Person information
- affiliation: University of Technology Nuremberg, Nuremberg, Germany
- affiliation (former): Amazon Web Services
- affiliation (former): Technical University of Munich, Germany
- affiliation (former): Massachusetts Institute of Technology, USA
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2020 – today
- 2024
[j15]Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska:
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet. Proc. VLDB Endow. 17(11): 3694-3706 (2024)- [j14]Alexander van Renen, Mihail Stoian, Andreas Kipf:
DataLoom: Simplifying Data Loading with LLMs. Proc. VLDB Endow. 17(12): 4449-4452 (2024) - [c29]Yanlei Diao
, Dominik Horn, Andreas Kipf, Oleksandr Shchur, Ines Benito, Wenjian Dong, Davide Pagano, Pascal Pfeil, Vikram Nathan, Balakrishnan Narayanaswamy, Tim Kraska:
Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis. SoCC 2024: 126-143 - [c28]Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska:
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion 2024: 269-279 - [c27]Tobias Schmidt, Andreas Kipf, Dominik Horn, Gaurav Saxena, Tim Kraska:
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses. SIGMOD Conference Companion 2024: 347-359 - [c26]Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf:
Corra: Correlation-Aware Column Compression. VLDB Workshops 2024 - [i21]Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf:
Corra: Correlation-Aware Column Compression. CoRR abs/2403.17229 (2024) - [i20]Mihail Stoian, Andreas Kipf:
DPconv: Super-Polynomially Faster Join Ordering. CoRR abs/2409.08013 (2024) - [i19]Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, Andreas Kipf:
Lightweight Correlation-Aware Table Compression. CoRR abs/2410.14066 (2024) - 2023
- [j13]Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh:
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16(6): 1520-1533 (2023) - [j12]Andreas Kipf:
Technical Perspective: Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems. SIGMOD Rec. 52(1): 103 (2023) - [c25]Manisha Luthra, Andreas Kipf, Matthias Böhm:
A Tutorial Workshop on ML for Systems and Systems for ML. BTW 2023: 707-708 - [c24]Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf:
Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). SIGMOD Conference Companion 2023: 303-304 - [c23]Xi Lyu, Andreas Kipf, Pascal Pfeil, Dominik Horn, Jana Giceva, Tim Kraska:
CorBit: Leveraging Correlations for Compressing Bitmap Indexes. VLDB Workshops 2023 - [e1]Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf:
Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2023, Seattle, WA, USA, 18 June 2023. ACM 2023 [contents] - [i18]Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper:
Enhancing In-Memory Spatial Indexing with Learned Search. CoRR abs/2309.06354 (2023) - 2022
- [j11]Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska:
SageDB: An Instance-Optimized Data Analytics System. Proc. VLDB Endow. 15(13): 4062-4078 (2022) - [j10]Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska:
TreeLine: An Update-In-Place Key-Value Store for Modern Storage. Proc. VLDB Endow. 16(1): 99-112 (2022) - [j9]Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska:
Can Learned Models Replace Hash Functions? Proc. VLDB Endow. 16(3): 532-545 (2022) - [c22]Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska:
LSI: a learned secondary index structure. aiDM@SIGMOD 2022: 4:1-4:5 - [c21]Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Hybrid Indexes. SIGMOD Conference 2022: 1626-1639 - [i17]Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska:
LSI: A Learned Secondary Index Structure. CoRR abs/2205.05769 (2022) - 2021
- [j8]Varun Pandey, Alexander van Renen, Andreas Kipf, Alfons Kemper:
How Good Are Modern Spatial Libraries? Data Sci. Eng. 6(2): 192-208 (2021) - [j7]Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14(11): 2019-2032 (2021) - [c20]Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CIDR 2021 - [c19]Christian Winter, Andreas Kipf, Christoph Anneser, Eleni Tzirita Zacharatou, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons. EDBT 2021: 169-180 - [c18]Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas:
Towards a Benchmark for Learned Systems. ICDE Workshops 2021: 127-133 - [c17]Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska:
LEA: A Learned Encoding Advisor for Column Stores. aiDM@SIGMOD 2021: 32-35 - [i16]Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR abs/2101.04964 (2021) - [i15]Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska:
LEA: A Learned Encoding Advisor for Column Stores. CoRR abs/2105.08830 (2021) - [i14]Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska:
When Are Learned Models Better Than Hash Functions? CoRR abs/2107.01464 (2021) - [i13]Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska:
PLEX: Towards Practical Learned Indexing. CoRR abs/2108.05117 (2021) - [i12]Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska:
Bounding the Last Mile: Efficient Learned String Indexing. CoRR abs/2111.14905 (2021) - 2020
- [b1]Andreas Kipf:
Advancing Analytical Database Systems. Technical University of Munich, Germany, 2020 - [j6]Andreas Kipf, Damian Chromejko, Alexander Hall, Peter A. Boncz, David G. Andersen:
Cuckoo Index: A Lightweight Secondary Index Structure. Proc. VLDB Endow. 13(13): 3559-3572 (2020) - [j5]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. Proc. VLDB Endow. 14(1): 1-13 (2020) - [j4]Harald Lang, Linnea Passing, Andreas Kipf, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines. VLDB J. 29(2-3): 757-774 (2020) - [c16]Varun Pandey, Alexander van Renen, Andreas Kipf, Alfons Kemper:
An Evaluation of Modern Spatial Libraries. DASFAA (2) 2020: 711-727 - [c15]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Christoph Anneser, Eleni Tzirita Zacharatou, Harish Doraiswamy, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins. EDBT 2020: 347-358 - [c14]Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, Alfons Kemper:
The Case for Hybrid Succinct Data Structures. EDBT 2020: 391-394 - [c13]Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas:
Fast Mapping onto Census Blocks. HPEC 2020: 1-8 - [c12]Philipp Fent, Michael Jungmair, Andreas Kipf, Thomas Neumann:
START - Self-Tuning Adaptive Radix Tree. ICDE Workshops 2020: 147-153 - [c11]Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper:
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory. ICDE 2020: 1477-1488 - [c10]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: a single-pass learned index. aiDM@SIGMOD 2020: 5:1-5:5 - [c9]Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper:
The Case for Learned Spatial Indexes. AIDB@VLDB 2020 - [i11]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: A Single-Pass Learned Index. CoRR abs/2004.14541 (2020) - [i10]Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar:
Fast Mapping onto Census Blocks. CoRR abs/2005.03156 (2020) - [i9]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. CoRR abs/2006.12804 (2020) - [i8]Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Alfons Kemper:
The Case for Learned Spatial Indexes. CoRR abs/2008.10349 (2020) - [i7]Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CoRR abs/2010.12548 (2020)
2010 – 2019
- 2019
- [j3]Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper:
Scalable Analytics on Fast Data. ACM Trans. Database Syst. 44(1): 1:1-1:35 (2019) - [c8]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CIDR 2019 - [c7]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. SIGSPATIAL/GIS 2019: 500-503 - [c6]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. SIGMOD Conference 2019: 1937-1940 - [i6]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. CoRR abs/1904.08223 (2019) - [i5]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. CoRR abs/1906.06085 (2019) - [i4]Christian Winter, Andreas Kipf, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Driven Storage Layout for Geospatial Data. CoRR abs/1908.07753 (2019) - [i3]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
SOSD: A Benchmark for Learned Indexes. CoRR abs/1911.13014 (2019) - 2018
- [j2]Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper:
How Good Are Modern Spatial Analytics Systems? Proc. VLDB Endow. 11(11): 1661-1673 (2018) - [c5]Harald Lang, Andreas Kipf, Linnea Passing, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines. DaMoN 2018: 5:1-5:8 - [c4]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Approximate Geospatial Joins with Precision Guarantees. ICDE 2018: 1360-1363 - [i2]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Adaptive Geospatial Joins for Modern Hardware. CoRR abs/1802.09488 (2018) - [i1]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CoRR abs/1809.00677 (2018) - 2017
- [j1]Sasan Amini, Kristian Beckers, Markus Böhm, Fritz Busch, Nihan Celikkaya, Vittorio Cozzolino, Anne Faber, Michael Haus, Dominik Huth, Alfons Kemper, Andreas Kipf, Helmut Krcmar, Florian Matthes, Jörg Ott, Christian Prehofer, Alexander Pretschner, Ömer Uludag, Wolfgang Wörndl:
Informatikforschung für digitale Mobilitätsplattformen - Am Beispiel des TUM Living Lab Connected Mobility. Inform. Spektrum 40(2): 180-191 (2017) - [c3]Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper:
Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems. EDBT 2017: 49-60 - [p1]Sasan Amini, Kristian Beckers, Markus Böhm, Fritz Busch, Nihan Celikkaya, Vittorio Cozzolino, Anne Faber, Michael Haus, Dominik Huth, Alfons Kemper, Andreas Kipf, Helmut Krcmar, Florian Matthes, Jörg Ott, Christian Prehofer, Alexander Pretschner, Ömer Uludag, Wolfgang Wörndl:
Informatik-Forschung für digitale Mobilitätsplattformen. 50 Jahre Universitäts-Informatik in München 2017: 155-172 - 2016
- [c2]Varun Pandey, Andreas Kipf, Dimitri Vorona, Tobias Mühlbauer, Thomas Neumann, Alfons Kemper:
High-Performance Geospatial Analytics in HyPerSpace. SIGMOD Conference 2016: 2145-2148 - 2015
- [c1]Tobias Mühlbauer, Wolf Rödiger, Andreas Kipf, Alfons Kemper, Thomas Neumann:
High-Performance Main-Memory Database Systems and Modern Virtualization: Friends or Foes? DanaC@SIGMOD 2015: 4:1-4:4
Coauthor Index
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last updated on 2024-12-02 22:30 CET by the dblp team
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