Kavitha Srinivas

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 57

Top Topics

Semantically Enriched

Top Venues

Publications

James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
Large Language Models as Planning Domain Generators. CoRR (2024)
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
Large Language Models as Planning Domain Generators (Student Abstract). AAAI (2024)
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
Large Language Models as Planning Domain Generators. ICAPS (2024)
Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
Planning with Language Models Through The Lens of Efficiency. CoRR (2024)
Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas
Out of style: Misadventures with LLMs and code style transfer. CoRR (2024)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI (2024)
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR (2024)
Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Kavitha Srinivas
Preface TaDA. VLDB Workshops (2023)
Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener
A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction. CoRR (2023)
Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. AAAI (2023)
Oktie Hassanzadeh, Nora Abdelmageed, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Aamod Khatiwada, Keti Korini, Benno Kruit, Juan Sequeda, Kavitha Srinivas
Results of SemTab 2023. SemTab@ISWC (2023)
Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
Action Space Reduction for Planning Domains. IJCAI (2023)
Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener
Improving Neural Ranking Models with Traditional IR Methods. CoRR (2023)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR (2023)
Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs. EKG-LLM@CIKM (2023)
Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. CIKM (2023)
Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz
A Vision for Semantically Enriched Data Science. CoRR (2023)
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16 (12) (2023)
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI (2023)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR (2023)
Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. CoRR (2023)
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip
Knowledge-Based News Event Analysis and Forecasting Toolkit. IJCAI (2022)
Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini
Semantic Feature Discovery with Code Mining and Semantic Type Detection. AAAI (2022)
Anik Saha, Alex Gittens, Jian Ni, Oktie Hassanzadeh, Bülent Yener, Kavitha Srinivas
SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models. CASE@EMNLP (2022)
Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas
Results of SemTab 2022. SemTab@ISWC (2022)
Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
How to Reduce Action Space for Planning Domains? (Student Abstract). AAAI (2022)
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
A Scalable AutoML Approach Based on Graph Neural Networks. Proc. VLDB Endow. 15 (11) (2022)
Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
Large Scale Generation of Labeled Type Data for Python. CoRR (2022)
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. AAAI (2022)
Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas
Exploring Code Style Transfer with Neural Networks. CoRR (2022)
Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
A Survey on Semantics in Automated Data Science. CoRR (2022)
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Aamod Khatiwada, Lee Martie, Steve Fonin Mbouadeu, Jian Ni, Anik Saha, Sola Shirai, Kavitha Srinivas, Lucy Yip
Knowledge-Based News Event Analysis Toolkit. ISWC (Posters/Demos/Industry) (2022)
Aamod Khatiwada, Sola Shirai, Kavitha Srinivas, Oktie Hassanzadeh
Knowledge Graph Embeddings for Causal Relation Prediction. DL4KG@ISWC (2022)
Essam Mansour, Kavitha Srinivas, Katja Hose
Federated Data Science to Break Down Silos [Vision]. CoRR (2021)
Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea
IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution. AAAI (2021)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. CoRR (2021)
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
A Scalable AutoML Approach Based on Graph Neural Networks. CoRR (2021)
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI (2021)
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
A Toolkit for Generating Code Knowledge Graphs. K-CAP (2021)
Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita
Results of SemTab 2021. SemTab@ISWC (2021)
Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract). AAAI (2021)
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. CoRR (2021)
Essam Mansour, Kavitha Srinivas, Katja Hose
Federated Data Science to Break Down Silos [Vision]. SIGMOD Rec. 50 (4) (2021)
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas
SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems. ESWC (2020)
Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker
A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code. ISWC (Demos/Industry) (2020)
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
Results of SemTab 2020. SemTab@ISWC (2020)
Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker
Graph4Code: A Machine Interpretable Knowledge Graph for Code. CoRR (2020)
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
Causal Knowledge Extraction through Large-Scale Text Mining. AAAI (2020)
Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi
Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops (2019)
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR (2019)
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. IJCAI (2019)
Kavitha Srinivas, Abraham Gale, Julian Dolby
Merging datasets through deep learning. CoRR (2018)
Marieke van Erp, Medha Atre, Vanessa López, Kavitha Srinivas, Carolina Fortuna
Preface. ISWC (P&D/Industry/BlueSky) (2018)
Mohammad Sadoghi, Kavitha Srinivas, Oktie Hassanzadeh, Yuan-Chi Chang, Mustafa Canim, Achille Fokoue, Yishai A. Feldman
Self-Curating Databases. EDBT (2016)
Julian Dolby, Achille Fokoue, Mariano Rodriguez-Muro, Kavitha Srinivas, Wen Sun
Extending SPARQL for Data Analytic Tasks. ISWC (2) (2016)
Mihaela A. Bornea, Julian Dolby, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Mandana Vaziri
An Executable Specification for SPARQL. WISE (2) (2016)
Oktie Hassanzadeh, Michael Jeffrey Ward, Mariano Rodriguez-Muro, Kavitha Srinivas
Understanding a large corpus of web tables through matching with knowledge bases: an empirical study. OM (2015)
Wen Sun, Achille Fokoue, Kavitha Srinivas, Anastasios Kementsietsidis, Gang Hu, Guo Tong Xie
SQLGraph: An Efficient Relational-Based Property Graph Store. SIGMOD Conference (2015)
Achille Fokoue, Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas
An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners. WISE (1) (2014)
Marcelo Arenas, Gonzalo I. Diaz, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas
A Principled Approach to Bridging the Gap between Graph Data and their Schemas. Proc. VLDB Endow. 7 (8) (2014)
Jason B. Ellis, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward
Exploring Big Data with Helix: Finding Needles in a Big Haystack. SIGMOD Rec. 43 (4) (2014)
Spyros Kotoulas, Vanessa López, Martin Stephenson, Pierpaolo Tommasi, Weijia Shen, Gang Hu, Marco Luca Sbodio, Veli Bicer, Anastasios Kementsietsidis, M. Mustafa Rafique, Jason B. Ellis, Thomas Erickson, Kavitha Srinivas, Kevin McAuliffe, Guo Tong Xie, Pol Mac Aonghusa
Coordinating Social Care and Healthcare using Semantic Web Technologies. ISWC (Posters & Demos) (2013)
Jason B. Ellis, Oktie Hassanzadeh, Kavitha Srinivas, Michael Jeffrey Ward
Collective ontology alignment. OM (2013)
Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas, Patrick Dantressangle, Octavian Udrea, Bishwaranjan Bhattacharjee
Building an efficient RDF store over a relational database. SIGMOD Conference (2013)
Weijia Shen, Guotong Xie, Kavitha Srinivas, Anastasios Kementsietsidis, Jason B. Ellis, Thomas Erickson, Kevin McAuliffe, Gang Hu, Wen Sun
Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization. CSWS (2013)
Marcelo Arenas, Gonzalo I. Diaz, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas
A Principled Approach to Bridging the Gap between Graph Data and their Schemas. CoRR (2013)
Songyun Duan, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward
Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing. ISWC (1) (2012)
Songyun Duan, Achille Fokoue, Kavitha Srinivas, Brian Byrne
A Clustering-Based Approach to Ontology Alignment. ISWC (1) (2011)
Songyun Duan, Anastasios Kementsietsidis, Kavitha Srinivas, Octavian Udrea
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets. SIGMOD Conference (2011)
Oktie Hassanzadeh, Songyun Duan, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward
Helix: online enterprise data analytics. WWW (Companion Volume) (2011)
Songyun Duan, Achille Fokoue, Kavitha Srinivas
One Size Does Not Fit All: Customizing Ontology Alignment Using User Feedback. ISWC (1) (2010)
Kavitha Srinivas
OWL Reasoning in the Real World: Searching for Godot. Description Logics (2009)
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas
Extracting Enterprise Vocabularies Using Linked Open Data. ISWC (2009)
Brian Byrne, Achille Fokoue, Aditya Kalyanpur, Kavitha Srinivas, Min Wang
Scalable Matching of Industry Models - a Case Study. OM (2009)
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas
Scalable highly expressive reasoner (SHER). J. Web Semant. 7 (4) (2009)
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Li Ma, Edith Schonberg, Kavitha Srinivas, Xingzhi Sun
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases. ISWC (2008)
Holger Stenzhorn, Kavitha Srinivas, Matthias Samwald, Alan Ruttenberg
Simplifying Access to Large-Scale Health Care and Life Sciences Datasets. ESWC (2008)
Chintan Patel, James J. Cimino, Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas
Matching Patient Records to Clinical Trials Using Ontologies. ISWC/ASWC (2007)
Jean-Sébastien Brunner, Li Ma, Chen Wang, Lei Zhang, Daniel C. Wolfson, Yue Pan, Kavitha Srinivas
Explorations in the use of semantic web technologies for product information management. WWW (2007)
Robert Schiaffino, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Chintan Patel, Edith Schonberg, Kavitha Srinivas
Computing OWL Ontology Decompositions Using Resolution. WoMO (2007)
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Li Ma
Scalable Semantic Retrieval through Summarization and Refinement. AAAI (2007)
Julian Dolby, James Fan, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, J. William Murdock, Kavitha Srinivas, Christopher A. Welty
Scalable Cleanup of Information Extraction Data Using Ontologies. ISWC/ASWC (2007)
Achille Fokoue, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas
The Summary Abox: Cutting Ontologies Down to Size. ISWC (2006)
Aaron Kershenbaum, Achille Fokoue, Chintan Patel, Christopher A. Welty, Edith Schonberg, James J. Cimino, Li Ma, Kavitha Srinivas, Robert J. Schloss, J. William Murdock
A View of OWL From the Field: Use-cases and Experiences. OWLED (2006)
Kavitha Srinivas, Harini Srinivasan
Summarizing application performance from a components perspective. ESEC/SIGSOFT FSE (2005)
Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Bowen Alpern, Robert D. Johnson, Aaron Kershenbaum, Larry Koved
SABER: smart analysis based error reduction. ISSTA (2004)
Harini Srinivasan, Darrell Reimer, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas
Static validation of resource management in large Java applications. ISoLA (Preliminary proceedings) (2004)
Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Julian Dolby, Aaron Kershenbaum, Larry Koved
Validating structural properties of nested objects. OOPSLA Companion (2004)