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2020 – today
- 2024
[c44]Pratik Mishra, Sandeep Hans, Diptikalyan Saha, Pratibha Moogi:
Optimizing Cloud Workloads: Autoscaling with Reinforcement Learning. CLOUD 2024: 217-222- [c43]Sandeep Hans
, Anupam Sanghi, Diptikalyan Saha:
Tabular Data Synthesis with GANs for Adaptive AI Models. COMAD/CODS 2024: 242-246 - [c42]Mudit Verma, Sandeep Hans, Diptikalyan Saha, Praveen Jayachandran, Eitan Farchi, Naga Ravi Chaitanya Elluri, Tullio Sebastiani, Paige Rubendall, Yogananth Subramanian, Pradeep Surisetty, Brian Riordan:
A Chaos Recommendation Tool for Reliability Testing in Large-Scale Cloud-Native Systems. COMSNETS 2024: 270-272 - 2023
- [j8]Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha:
Software testing in the machine learning era. Empir. Softw. Eng. 28(3): 74 (2023) - [c41]Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur:
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. AAAI 2023: 15767-15773 - [c40]Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. COMAD/CODS 2023: 128-132 - [c39]Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang:
Global Explanations for Multivariate time series models. COMAD/CODS 2023: 149-157 - [c38]Diptikalyan Saha, Shiva Nejati:
A Report on Tutorials and Tech-Briefings co-located with ISEC 2023. ISEC 2023: 30:1-30:2 - [c37]Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur:
Counterfactual Sentence Generation with Plug-and-Play Perturbation. SaTML 2023: 306-315 - [c36]Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly:
Interpretable differencing of machine learning models. UAI 2023: 788-797 - [i16]Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly:
Interpretable Differencing of Machine Learning Models. CoRR abs/2306.06473 (2023) - 2022
- [c35]Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. COMAD/CODS 2022: 110-114 - [c34]Oznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth Daly, Diptikalyan Saha:
FROTE: Feedback Rule-Driven Oversampling for Editing Models. MLSys 2022 - [i15]Öznur Alkan, Dennis Wei, Massimiliano Mattetti, Rahul Nair, Elizabeth M. Daly, Diptikalyan Saha:
FROTE: Feedback Rule-Driven Oversampling for Editing Models. CoRR abs/2201.01070 (2022) - [i14]Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal:
Explainable Data Imputation using Constraints. CoRR abs/2205.04731 (2022) - [i13]Nishtha Madaan, Srikanta Bedathur, Diptikalyan Saha:
Plug and Play Counterfactual Text Generation for Model Robustness. CoRR abs/2206.10429 (2022) - [i12]Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur:
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language. CoRR abs/2211.04250 (2022) - 2021
- [c33]Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. AAAI 2021: 13516-13524 - [c32]Ashish R. Mittal, Diptikalyan Saha, Parag Jain, Jaydeep Sen, Manasa Jammi, Karthik Sankaranarayanan:
Bootstrapping Chatbot Interfaces to Databases. COMAD/CODS 2021: 47-55 - [c31]Swastik Haldar, Philips George John, Diptikalyan Saha:
Reliable Counterfactual Explanations for Autoencoder based Anomalies. COMAD/CODS 2021: 83-91 - [c30]Jaydeep Sen, Diptikalyan Saha, Ashish R. Mittal, Karthik Sankaranarayanan:
Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users. COMAD/CODS 2021: 341-349 - [c29]Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. ICSE (Companion Volume) 2021: 81-84 - [i11]Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. CoRR abs/2102.06166 (2021) - [i10]Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - [i9]Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha:
Towards API Testing Across Cloud and Edge. CoRR abs/2109.02540 (2021) - [i8]Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha:
Automated Testing of AI Models. CoRR abs/2110.03320 (2021) - [i7]Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans:
Data Synthesis for Testing Black-Box Machine Learning Models. CoRR abs/2111.02161 (2021) - 2020
- [j7]Jaydeep Sen, Chuan Lei, Abdul Quamar, Fatma Özcan, Vasilis Efthymiou, Ayushi Dalmia, Greg Stager, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan:
ATHENA++: Natural Language Querying for Complex Nested SQL Queries. Proc. VLDB Endow. 13(11): 2747-2759 (2020) - [c28]Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha:
Verifying Individual Fairness in Machine Learning Models. UAI 2020: 749-758 - [e1]Sanjeev Jain, Atul Gupta, David Lo, Diptikalyan Saha, Richa Sharma:
ISEC 2020: 13th Innovations in Software Engineering Conference, Jabalpur, India, February 27-29, 2020. ACM 2020, ISBN 978-1-4503-7594-8 [contents] - [i6]Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha:
Verifying Individual Fairness in Machine Learning Models. CoRR abs/2006.11737 (2020) - [i5]Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. CoRR abs/2012.04698 (2020)
2010 – 2019
- 2019
- [j6]Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 63(4/5): 4:1-4:15 (2019) - [j5]Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. 36(4): 76-80 (2019) - [c27]Neelamadhav Gantayat, Diptikalyan Saha, Jaydeep Sen, Senthil Mani:
Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform. COMAD/CODS 2019: 231-237 - [c26]Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri:
Bias Mitigation Post-processing for Individual and Group Fairness. ICASSP 2019: 2847-2851 - [c25]Jaydeep Sen, Fatma Ozcan, Abdul Quamar, Greg Stager, Ashish R. Mittal, Manasa Jammi, Chuan Lei, Diptikalyan Saha, Karthik Sankaranarayanan:
Natural Language Querying of Complex Business Intelligence Queries. SIGMOD Conference 2019: 1997-2000 - [c24]Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Black box fairness testing of machine learning models. ESEC/SIGSOFT FSE 2019: 625-635 - 2018
- [j4]Chuan Lei, Fatma Özcan, Abdul Quamar, Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan:
Ontology-Based Natural Language Query Interfaces for Data Exploration. IEEE Data Eng. Bull. 41(3): 52-63 (2018) - [j3]Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan:
Tooling Framework for Instantiating Natural Language Querying System. Proc. VLDB Endow. 11(12): 2014-2017 (2018) - [c23]Jaydeep Sen, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan:
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems. IJCAI 2018: 4331-4337 - [c22]Ashish R. Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankaranarayanan:
An Ontology based Dialog Interface to Database. SIGMOD Conference 2018: 1749-1752 - [i4]Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Automated Test Generation to Detect Individual Discrimination in AI Models. CoRR abs/1809.03260 (2018) - [i3]Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR abs/1810.01943 (2018) - [i2]Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri:
Bias Mitigation Post-processing for Individual and Group Fairness. CoRR abs/1812.06135 (2018) - 2017
- [j2]Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu:
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. Proc. VLDB Endow. 10(12): 1965-1968 (2017) - [c21]Diptikalyan Saha, Neelamadhav Gantayat, Senthil Mani, Barry Mitchell:
Natural language querying in SAP-ERP platform. ESEC/SIGSOFT FSE 2017: 878-883 - 2016
- [j1]Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan, Umar Farooq Minhas, Ashish R. Mittal, Fatma Özcan:
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores. Proc. VLDB Endow. 9(12): 1209-1220 (2016) - [c20]Diptikalyan Saha, Pankaj Dhoolia, Manav Garg, V. Vaibhav:
Delta Refactoring for Merge Conflict Avoidance. ISEC 2016: 26-36 - 2015
- [c19]Diptikalyan Saha:
Service Mining from Legacy Database Applications. ICWS 2015: 448-455 - [c18]Vibha Singhal Sinha, Diptikalyan Saha, Pankaj Dhoolia, Rohan Padhye, Senthil Mani:
Detecting and Mitigating Secret-Key Leaks in Source Code Repositories. MSR 2015: 396-400 - [c17]Mohammed Afraz, Diptikalyan Saha, Aditya Kanade:
P3: partitioned path profiling. ESEC/SIGSOFT FSE 2015: 485-495 - 2014
- [c16]Divya Gopinath, Sarfraz Khurshid, Diptikalyan Saha, Satish Chandra:
Data-guided repair of selection statements. ICSE 2014: 243-253 - 2013
- [c15]Diptikalyan Saha, Pankaj Dhoolia, Gaurab Paul:
Distributed program tracing. ESEC/SIGSOFT FSE 2013: 180-190 - 2011
- [c14]Diptikalyan Saha, Vishal Narula:
Gramin: a system for incremental learning of programming language grammars. ISEC 2011: 185-194 - [c13]V. Krishna Nandivada, Mangala Gowri Nanda, Pankaj Dhoolia, Diptikalyan Saha, Anjan Nandy, Anup Ghosh:
A framework for analyzing programs written in proprietary languages. OOPSLA Companion 2011: 289-300 - [c12]Diptikalyan Saha, Mangala Gowri Nanda, Pankaj Dhoolia, V. Krishna Nandivada, Vibha Sinha, Satish Chandra:
Fault localization for data-centric programs. SIGSOFT FSE 2011: 157-167
2000 – 2009
- 2009
- [i1]Diptikalyan Saha, Paul Fodor:
A simple and efficient explicit parallelization of logic programs using low-level threading primitives. CoRR abs/0912.3510 (2009) - 2008
- [c11]Diptikalyan Saha:
Extending logical attack graphs for efficient vulnerability analysis. CCS 2008: 63-74 - 2007
- [c10]Diptikalyan Saha:
An Incremental Bisimulation Algorithm. FSTTCS 2007: 204-215 - [c9]Michael Eichberg, Matthias Kahl, Diptikalyan Saha, Mira Mezini, Klaus Ostermann:
Automatic Incrementalization of Prolog Based Static Analyses. PADL 2007: 109-123 - 2006
- [c8]Diptikalyan Saha, C. R. Ramakrishnan:
A Local Algorithm for Incremental Evaluation of Tabled Logic Programs. ICLP 2006: 56-71 - [c7]Diptikalyan Saha, C. R. Ramakrishnan:
Incremental Evaluation of Tabled Prolog: Beyond Pure Logic Programs. PADL 2006: 215-229 - 2005
- [c6]Diptikalyan Saha, C. R. Ramakrishnan:
Symbolic Support Graph: A Space Efficient Data Structure for Incremental Tabled Evaluation. ICLP 2005: 235-249 - [c5]Diptikalyan Saha, C. R. Ramakrishnan:
Incremental and demand-driven points-to analysis using logic programming. PPDP 2005: 117-128 - [c4]Curtis W. Keller, Diptikalyan Saha, Samik Basu, Scott A. Smolka:
FocusCheck: A Tool for Model Checking and Debugging Sequential C Programs. TACAS 2005: 563-569 - 2004
- [c3]Samik Basu, Diptikalyan Saha, Scott A. Smolka:
Localizing Program Errors for Cimple Debugging. FORTE 2004: 79-96 - 2003
- [c2]Samik Basu, Diptikalyan Saha, Yow-Jian Lin, Scott A. Smolka:
Generation of All Counter-Examples for Push-Down Systems. FORTE 2003: 79-94 - [c1]Diptikalyan Saha, C. R. Ramakrishnan:
Incremental Evaluation of Tabled Logic Programs. ICLP 2003: 392-406
Coauthor Index
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