RepliSmart: A Smart Replication framework for optimal query throughput in read-heavy environments. - R. K. N. Sai Krishna; Chandrasekhar Tekur; Arnab Phani (COMAD/CODS, 2019)

SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. - Matthias Boehm 001; Iulian Antonov; Mark Dokter; Robert Ginthör; Kevin Innerebner; Florijan Klezin; Stefanie N. Lindstaedt; Arnab Phani; Benjamin Rath (CoRR, 2019)

SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. - Matthias Boehm 001; Iulian Antonov; Sebastian Baunsgaard; Mark Dokter; Robert Ginthör; Kevin Innerebner; Florijan Klezin; Stefanie N. Lindstaedt; Arnab Phani; Benjamin Rath; Berthold Reinwald; Shafaq Siddiqui; et al. (CIDR, 2020)

LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems. - Arnab Phani; Benjamin Rath; Matthias Boehm 001 (SIGMOD Conference, 2021)

Federated Data Preparation, Learning, and Debugging in Apache SystemDS. - Sebastian Baunsgaard; Matthias Boehm 001; Kevin Innerebner; Mito Kehayov; Florian Lackner; Olga Ovcharenko; Arnab Phani; Tobias Rieger; David Weissteiner; Sebastian Benjamin Wrede (CIKM, 2022)

UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads. - Arnab Phani; Lukas Erlbacher; Matthias Boehm 001 (Proc. VLDB Endow., 2022)

MEMPHIS: Holistic Lineage-based Reuse and Memory Management for Multi-backend ML Systems. - Arnab Phani; Matthias Boehm 001 (EDBT, 2025)