The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. - Leena M. Razzaq; Jozsef Patvarczki; Shane F. Almeida; Manasi Vartak; Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger (IEEE Trans. Learn. Technol., 2009)

QRelX: generating meaningful queries that provide cardinality assurance. - Manasi Vartak; Venkatesh Raghavan; Elke A. Rundensteiner (SIGMOD Conference, 2010)

CHIC: a combination-based recommendation system. - Manasi Vartak; Samuel Madden 001 (SIGMOD Conference, 2013)

GenBase: a complex analytics genomics benchmark. - Rebecca Taft; Manasi Vartak; Nadathur Rajagopalan Satish; Narayanan Sundaram; Samuel Madden 001; Michael Stonebraker (SIGMOD Conference, 2014)

SEEDB: Automatically Generating Query Visualizations. - Manasi Vartak; Samuel Madden 001; Aditya G. Parameswaran; Neoklis Polyzotis (Proc. VLDB Endow., 2014)

A Demonstration of the BigDAWG Polystore System. - Aaron J. Elmore; Jennie Duggan; Mike Stonebraker; Magdalena Balazinska; Ugur Çetintemel; Vijay Gadepally; Jeffrey Heer; Bill Howe; Jeremy Kepner; Tim Kraska; Samuel Madden 001; David Maier 001; et al. (Proc. VLDB Endow., 2015)

SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. - Manasi Vartak; Sajjadur Rahman; Samuel Madden 001; Aditya G. Parameswaran; Neoklis Polyzotis (Proc. VLDB Endow., 2015)

Refinement Driven Processing of Aggregation Constrained Queries. - Manasi Vartak; Venkatesh Raghavan; Elke A. Rundensteiner; Samuel Madden 001 (EDBT, 2016)

ModelDB: a system for machine learning model management. - Manasi Vartak; Harihar Subramanyam; Wei-En Lee; Srinidhi Viswanathan; Saadiyah Husnoo; Samuel Madden 001; Matei Zaharia (HILDA@SIGMOD, 2016)

Towards Visualization Recommendation Systems. - Manasi Vartak; Silu Huang; Tarique Siddiqui; Samuel Madden 001; Aditya G. Parameswaran (SIGMOD Rec., 2016)

MODELDB: A System for Machine Learning Model Management. - Manasi Vartak (CIDR, 2017)

A Meta-Learning Perspective on Cold-Start Recommendations for Items. - Manasi Vartak; Arvind Thiagarajan; Conrado Miranda; Jeshua Bratman; Hugo Larochelle (NIPS, 2017)

MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis. - Manasi Vartak; Joana M. F. da Trindade; Samuel Madden 001; Matei Zaharia (SIGMOD Conference, 2018)

Smallify: Learning Network Size while Training. - Guillaume Leclerc; Manasi Vartak; Raul Castro Fernandez; Tim Kraska; Samuel Madden 001 (CoRR, 2018)

MODELDB: Opportunities and Challenges in Managing Machine Learning Models. - Manasi Vartak; Samuel Madden 001 (IEEE Data Eng. Bull., 2018)

Infrastructure for model management and model diagnosis. - Manasi Vartak (2018)

DEEM 2019: Workshop on Data Management for End-to-End Machine Learning. - Sebastian Schelter; Neoklis Polyzotis; Manasi Vartak; Stephan Seufert (SIGMOD Conference, 2019)

Opportunities for Data Management Research in the Era of Horizontal AI/ML. - Theodoros Rekatsinas; Sudeepa Roy 001; Manasi Vartak; Ce Zhang 001; Neoklis Polyzotis (Proc. VLDB Endow., 2019)

From ML Models to Intelligent Applications: The Rise of MLOps. - Manasi Vartak (Proc. VLDB Endow., 2021)