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Kavitha Srinivas
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A Vision for Semantically Enriched Data Science


Mar 02, 2023
Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz

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* arXiv admin note: substantial text overlap with arXiv:2205.08018 
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Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning


Jan 05, 2023
Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour

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Exploring Code Style Transfer with Neural Networks


Sep 13, 2022
Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas

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A Survey on Semantics in Automated Data Science


May 16, 2022
Udayan Khurana, Kavitha Srinivas, Horst Samulowitz

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Federated Data Science to Break Down Silos [Vision]


Nov 25, 2021
Essam Mansour, Kavitha Srinivas, Katja Hose

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* Accepted at SIGMOD Record 
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A Scalable AutoML Approach Based on Graph Neural Networks


Oct 29, 2021
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas

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* 15 pages, 10 figures 
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Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding


Sep 15, 2021
Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas

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Learning to Guide a Saturation-Based Theorem Prover


Jun 07, 2021
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue

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Graph4Code: A Machine Interpretable Knowledge Graph for Code


Feb 21, 2020
Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, James P. McCusker

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A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies


Nov 05, 2019
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

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