Andreas Kipf

Andreas

Last updated: May 25, 2022

I am a postdoc researcher in the MIT Data Systems Group working with Prof. Tim Kraska. My interests are in improving systems with machine learning with a focus on index structures, storage layouts, and query optimization.

I earned my PhD at TUM, where I worked with Prof. Alfons Kemper and Prof. Thomas Neumann. During my PhD, I collaborated with the Data Infrastructure team at Google on secondary indexing.

[Google Scholar] [GitHub] [Twitter] [Blog] [LinkedIn] [CV]

Selected Publications

LSI: A Learned Secondary Index Structure.
Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, and Tim Kraska.
aiDM @ SIGMOD 2022.
Adaptive Hybrid Indexes.
Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, and Alfons Kemper.
SIGMOD 2022.
Bounding the Last Mile: Efficient Learned String Indexing.
Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, and Tim Kraska.
AIDB @ VLDB 2021.
Towards Practical Learned Indexing. [code] [talk]
Mihail Stoian, Andreas Kipf, Ryan Marcus, and Tim Kraska.
AIDB @ VLDB 2021.
Flow-Loss: Learning Cardinality Estimates That Matter. [blog] [code]
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, and Mohammad Alizadeh.
VLDB 2021.
Benchmarking Learned Indexes. [blog] [code] [leaderboard]
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, and Tim Kraska.
VLDB 2021.
LEA: A Learned Encoding Advisor for Column Stores. [blog] [talk]
Lujing Cen, Andreas Kipf, Ryan Marcus, and Tim Kraska.
aiDM @ SIGMOD 2021.
GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons.
Christian Winter, Andreas Kipf, Christoph Anneser, Eleni Tzirita Zacharatou, Thomas Neumann, and Alfons Kemper.
EDBT 2021.
The Case for Distance-Bounded Spatial Approximations.
Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, and Volker Markl.
CIDR 2021.
The Case for Learned Spatial Indexes.
Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, and Alfons Kemper.
AIDB @ VLDB 2020.
Cuckoo Index: A Lightweight Secondary Index Structure. [talk] [code]
Andreas Kipf, Damian Chromejko, Alexander Hall, Peter Boncz, and David G. Andersen.
VLDB 2020.
RadixSpline: A Single-Pass Learned Index. [talk] [code]
Andreas Kipf^*, Ryan Marcus^*, Alexander van Renen^*, Mihail Stoian, Alfons Kemper, Tim Kraska, and Thomas Neumann.
aiDM @ SIGMOD 2020.
The Case for Hybrid Succinct Data Structures.
Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, and Alfons Kemper.
EDBT 2020.
Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins. [code]
Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Christoph Anneser, Eleni Tzirita Zacharatou, Harish Doraiswamy, Peter Boncz, Thomas Neumann, and Alfons Kemper.
EDBT 2020.
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning.
Dimitri Vorona, Andreas Kipf, Thomas Neumann, and Alfons Kemper.
SIGSPATIAL 2019.
Estimating Filtered Group-By Queries is Hard: Deep Learning to the Rescue.
Andreas Kipf, Michael Freitag, Dimitri Vorona, Peter Boncz, Thomas Neumann, and Alfons Kemper.
AIDB @ VLDB 2019.
Estimating Cardinalities with Deep Sketches.
Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter Boncz, Thomas Neumann, and Alfons Kemper.
Demo @ SIGMOD 2019.
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. [code]
Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter Boncz, and Alfons Kemper.
CIDR 2019.
Scalable Analytics on Fast Data.
Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, and Alfons Kemper.
TODS 2019, Best of EDBT 2017.

Service

Program Committee

External Reviewer

Contact

kipf@mit.edu