DBScholar

Back to papers

Morphing-based Compression for Data-centric ML Pipelines

Summary: BWARE exploits data-cleaning and feature-engineering structure for workload-aware, lossless matrix compression. It morphs compressed representations directly—without decompression—accelerating end-to-end data-centric ML pipelines from days to hours. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h92b2a372691d92bd
Venue
VLDB
Year
2026
Pagerank
4.9769913e-05
Overall Rank
10,954 | 26.38%
DOI
10.14778/3778092.3778104
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{baunsgaard_vldb26,
        title = {{Morphing-based Compression for Data-centric ML Pipelines}},
        author = {Baunsgaard, Sebastian and Boehm, Matthias},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {3},
        pages = {440--454},
        doi = {10.14778/3778092.3778104},
        url = {https://doi.org/10.14778/3778092.3778104},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 42 of 42 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
12 C-Store: A Column-oriented DBMS 2005 VLDB 0.0006897844
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00039236924
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00029001141
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025171314
252 Database Cracking 2007 CIDR 0.00023101361
416 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00018650998
521 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016923519
731 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014400356
907 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013157412
972 The Data Civilizer System 2017 CIDR 0.00012757732
1,120 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.000119406
1,162 Responsible Data Management 2020 VLDB 0.00011747599
1,200 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011559584
1,308 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011073863
1,347 Chimp: Efficient Lossless Floating Point Compression for Time Series Databases 2022 VLDB 0.00010945231
1,614 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010067153
1,669 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9324573e-05
1,837 Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 9.5315292e-05
2,290 Clay: Fine-Grained Adaptive Partitioning for General Database Schemas 2017 VLDB 8.6873304e-05
2,317 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6492924e-05
2,929 ALP: Adaptive Lossless floating-Point Compression 2023 SIGMOD 7.838721e-05
3,141 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 7.5987721e-05
3,147 White-box Compression: Learning and Exploiting Compact Table Representations 2020 CIDR 7.5927972e-05
3,606 Updating a Cracked Database 2007 SIGMOD 7.1653182e-05
3,746 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 7.0525348e-05
3,879 Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores 2012 VLDB 6.9481594e-05
4,161 The Relational Data Borg is Learning 2020 VLDB 6.7669004e-05
4,330 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 6.6564176e-05
4,334 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6537801e-05
5,107 Online Deduplication for Databases 2017 SIGMOD 6.2684299e-05
5,574 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.0773771e-05
5,856 Compression Aware Physical Database Design 2011 VLDB 5.9682143e-05
5,877 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 5.9599042e-05
6,419 MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model 2020 VLDB 5.7886634e-05
6,594 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.7394502e-05
6,666 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.7144587e-05
7,544 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 5.496984e-05
8,389 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD 5.3396465e-05
8,570 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 5.3113492e-05
8,781 Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices 2022 VLDB 5.2779278e-05
9,850 High-Ratio Compression for Machine-Generated Data 2023 SIGMOD 5.1198764e-05
10,281 MorphStore — In-Memory Query Processing based on Morphing Compressed Intermediates LIVE 2019 SIGMOD 5.0461162e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 6,222 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD
2 6,314 Progressive Compressed Records: Taking a Byte out of Deep Learning Data 2021 VLDB
3 3,147 White-box Compression: Learning and Exploiting Compact Table Representations 2020 CIDR
4 9,705 Experimental Analysis of Large-scale Learnable Vector Storage Compression 2024 VLDB
5 8,790 Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask 2024 VLDB
6 6,594 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD
7 3,141 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD
8 8,781 Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices 2022 VLDB
9 1,614 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB
10 8,389 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD