Andreas Kipf

Orcid: 0000-0003-3463-0564

Affiliations:
  • Amazon Web Services
  • Technical University of Munich, Germany (former)
  • Massachusetts Institute of Technology, USA (former)


According to our database1, Andreas Kipf authored at least 47 papers between 2015 and 2023.

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Timeline

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Bibliography

2023
Technical Perspective: Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems.
SIGMOD Rec., 2023

Robust Query Driven Cardinality Estimation under Changing Workloads.
Proc. VLDB Endow., 2023

Enhancing In-Memory Spatial Indexing with Learned Search.
CoRR, 2023

CorBit: Leveraging Correlations for Compressing Bitmap Indexes.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

A Tutorial Workshop on ML for Systems and Systems for ML.
Proceedings of the Datenbanksysteme für Business, 2023

2022
TreeLine: An Update-In-Place Key-Value Store for Modern Storage.
Proc. VLDB Endow., 2022

Can Learned Models Replace Hash Functions?
Proc. VLDB Endow., 2022

SageDB: An Instance-Optimized Data Analytics System.
Proc. VLDB Endow., 2022

LSI: a learned secondary index structure.
Proceedings of the aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2022

Adaptive Hybrid Indexes.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
Flow-Loss: Learning Cardinality Estimates That Matter.
Proc. VLDB Endow., 2021

How Good Are Modern Spatial Libraries?
Data Sci. Eng., 2021

Bounding the Last Mile: Efficient Learned String Indexing.
CoRR, 2021

PLEX: Towards Practical Learned Indexing.
CoRR, 2021

When Are Learned Models Better Than Hash Functions?
CoRR, 2021

LEA: A Learned Encoding Advisor for Column Stores.
Proceedings of the aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, 2021

Towards a Benchmark for Learned Systems.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

The Case for Distance-Bounded Spatial Approximations.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020
Advancing Analytical Database Systems.
PhD thesis, 2020

Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines.
VLDB J., 2020

Benchmarking Learned Indexes.
Proc. VLDB Endow., 2020

Cuckoo Index: A Lightweight Secondary Index Structure.
Proc. VLDB Endow., 2020

Fast Mapping onto Census Blocks.
CoRR, 2020

The Case for Learned Spatial Indexes.
Proceedings of the AIDB@VLDB 2020, 2020

RadixSpline: a single-pass learned index.
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

START - Self-Tuning Adaptive Radix Tree.
Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020


Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

The Case for Hybrid Succinct Data Structures.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

An Evaluation of Modern Spatial Libraries.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Scalable Analytics on Fast Data.
ACM Trans. Database Syst., 2019

SOSD: A Benchmark for Learned Indexes.
CoRR, 2019

GeoBlocks: A Query-Driven Storage Layout for Geospatial Data.
CoRR, 2019

Estimating Cardinalities with Deep Sketches.
Proceedings of the 2019 International Conference on Management of Data, 2019

DeepSPACE: Approximate Geospatial Query Processing with Deep Learning.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Learned Cardinalities: Estimating Correlated Joins with Deep Learning.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018
How Good Are Modern Spatial Analytics Systems?
Proc. VLDB Endow., 2018

Adaptive Geospatial Joins for Modern Hardware.
CoRR, 2018

Approximate Geospatial Joins with Precision Guarantees.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Informatikforschung für digitale Mobilitätsplattformen - Am Beispiel des TUM Living Lab Connected Mobility.
Inform. Spektrum, 2017

Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems.
Proceedings of the 20th International Conference on Extending Database Technology, 2017


2016
High-Performance Geospatial Analytics in HyPerSpace.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
High-Performance Main-Memory Database Systems and Modern Virtualization: Friends or Foes?
Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015


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