Tool for Translating Simulink Models into Input Language of a Model Checker. - B. Meenakshi 002; Abhishek Bhatnagar; Sudeepa Roy 001 (ICFEM, 2006)

STCON in Directed Unique-Path Graphs. - Sampath Kannan; Sanjeev Khanna; Sudeepa Roy 001 (FSTTCS, 2008)

Optimizing user views for workflows. - Olivier Biton; Susan B. Davidson; Sanjeev Khanna; Sudeepa Roy 001 (ICDT, 2009)

An optimal labeling scheme for workflow provenance using skeleton labels. - Zhuowei Bao; Susan B. Davidson; Sanjeev Khanna; Sudeepa Roy 001 (SIGMOD Conference, 2010)

Preserving Module Privacy in Workflow Provenance - Susan B. Davidson; Sanjeev Khanna; Debmalya Panigrahi; Sudeepa Roy 001 (CoRR, 2010)

Enabling Privacy in Provenance-Aware Workflow Systems. - Susan B. Davidson; Sanjeev Khanna; Val Tannen; Sudeepa Roy 001; Yi Chen 001; Tova Milo; Julia Stoyanovich (CIDR, 2011)

Hiding Data and Structure in Workflow Provenance. - Susan B. Davidson; Zhuowei Bao; Sudeepa Roy 001 (DNIS, 2011)

On provenance and privacy. - Susan B. Davidson; Sanjeev Khanna; Sudeepa Roy 001; Julia Stoyanovich; Val Tannen; Yi Chen 001 (ICDT, 2011)

Faster query answering in probabilistic databases using read-once functions. - Sudeepa Roy 001; Vittorio Perduca; Val Tannen (ICDT, 2011)

Provenance views for module privacy. - Susan B. Davidson; Sanjeev Khanna; Tova Milo; Debmalya Panigrahi; Sudeepa Roy 001 (PODS, 2011)

Queries with Difference on Probabilistic Databases. - Sanjeev Khanna; Sudeepa Roy 001; Val Tannen (Proc. VLDB Endow., 2011)

Using the crowd for top-k and group-by queries. - Susan B. Davidson; Sanjeev Khanna; Tova Milo; Sudeepa Roy 001 (ICDT, 2013)

A propagation model for provenance views of public/private workflows. - Susan B. Davidson; Tova Milo; Sudeepa Roy 001 (ICDT, 2013)

Provenance-based dictionary refinement in information extraction. - Sudeepa Roy 001; Laura Chiticariu; Vitaly Feldman; Frederick Reiss 001; Huaiyu Zhu 001 (SIGMOD Conference, 2013)

Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. - Paul Beame; Jerry Li 001; Sudeepa Roy 001; Dan Suciu (UAI, 2013)

Model Counting of Query Expressions: Limitations of Propositional Methods. - Paul Beame; Jerry Li 001; Sudeepa Roy 001; Dan Suciu (CoRR, 2013)

Counting of Query Expressions: Limitations of Propositional Methods. - Paul Beame; Jerry Li 001; Sudeepa Roy 001; Dan Suciu (ICDT, 2014)

Circuits for Datalog Provenance. - Daniel Deutch; Tova Milo; Sudeepa Roy 001; Val Tannen (ICDT, 2014)

A formal approach to finding explanations for database queries. - Sudeepa Roy 001; Dan Suciu (SIGMOD Conference, 2014)

Causality and Explanations in Databases. - Alexandra Meliou; Sudeepa Roy 001; Dan Suciu (Proc. VLDB Endow., 2014)

Top-k and Clustering with Noisy Comparisons. - Susan B. Davidson; Sanjeev Khanna; Tova Milo; Sudeepa Roy 001 (ACM Trans. Database Syst., 2014)

On the Complexity of Evaluating Order Queries with the Crowd. - Benoît Groz; Tova Milo; Sudeepa Roy 001 (IEEE Data Eng. Bull., 2015)

Explaining Query Answers with Explanation-Ready Databases. - Sudeepa Roy 001; Laurel J. Orr; Dan Suciu (Proc. VLDB Endow., 2015)

Optimizing Iceberg Queries with Complex Joins. - Brett Walenz; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2017)

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. - Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky; Tianyu Wang 008 (CoRR, 2017)

A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence. - Sudeepa Roy 001; Babak Salimi (CoRR, 2017)

Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework. - Prajakta Kalmegh; Shivnath Babu; Sudeepa Roy 001 (CoRR, 2017)

Answering Conjunctive Queries with Inequalities. - Paraschos Koutris; Tova Milo; Sudeepa Roy 001; Dan Suciu (Theory Comput. Syst., 2017)

Exact Model Counting of Query Expressions: Limitations of Propositional Methods. - Paul Beame; Jerry Li 001; Sudeepa Roy 001; Dan Suciu (ACM Trans. Database Syst., 2017)

iQCAR: Inter-Query Contention Analyzer. - Prajakta Kalmegh; Shivnath Babu; Sudeepa Roy 001 (SoCC, 2018)

iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks. - Prajakta Kalmegh; Harrison Lundberg; Frederick Xu; Shivnath Babu; Sudeepa Roy 001 (SIGMOD Conference, 2018)

QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. - Yuhao Wen; Xiaodan Zhu; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2018)

Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. - Awa Dieng; Yameng Liu; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (CoRR, 2018)

Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checking. - Jun Yang 001; Pankaj K. Agarwal; Sudeepa Roy 001; Brett Walenz; You Wu 001; Cong Yu 001; Chengkai Li 001 (IEEE Data Eng. Bull., 2018)

Interactive Summarization and Exploration of Top Aggregate Query Answers. - Yuhao Wen; Xiaodan Zhu; Sudeepa Roy 001; Jun Yang 001 (Proc. VLDB Endow., 2018)

Provenance: Privacy and Security. - Susan B. Davidson; Sudeepa Roy 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Uncertain Data Lineage. - Sudeepa Roy 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Interpretable Almost-Exact Matching for Causal Inference. - Awa Dieng; Yameng Liu; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (AISTATS, 2019)

iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks. - Prajakta Kalmegh; Shivnath Babu; Sudeepa Roy 001 (SIGMOD Conference, 2019)

Explaining Wrong Queries Using Small Examples. - Zhengjie Miao; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2019)

RATest: Explaining Wrong Relational Queries Using Small Examples. - Zhengjie Miao; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2019)

Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. - Zhengjie Miao; Qitian Zeng; Boris Glavic; Sudeepa Roy 001 (SIGMOD Conference, 2019)

Interpretable Almost Matching Exactly With Instrumental Variables. - M. Usaid Awan; Yameng Liu; Marco Morucci; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (UAI, 2019)

Principles of Progress Indicators for Database Repairing. - Ester Livshits; Ihab F. Ilyas; Benny Kimelfeld; Sudeepa Roy 001 (CoRR, 2019)

Generalized Deletion Propagation on Counting Conjunctive Query Answers. - Debmalya Panigrahi; Shweta Patwa; Sudeepa Roy 001 (CoRR, 2019)

On Benchmarking for Crowdsourcing and Future of Work Platforms. - Ria Mae Borromeo; Lei Chen 002; Abhishek Dubey; Sudeepa Roy 001; Saravanan Thirumuruganathan (IEEE Data Eng. Bull., 2019)

LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers. - Zhengjie Miao; Andrew Lee; Sudeepa Roy 001 (Proc. VLDB Endow., 2019)

CAPE: Explaining Outliers by Counterbalancing. - Zhengjie Miao; Qitian Zeng; Chenjie Li; Boris Glavic; Oliver Kennedy; Sudeepa Roy 001 (Proc. VLDB Endow., 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)

Learning to Sample: Counting with Complex Queries. - Brett Walenz; Stavros Sintos; Sudeepa Roy 001; Jun Yang 001 (Proc. VLDB Endow., 2019)

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. - M. Usaid Awan; Marco Morucci; Vittorio Orlandi; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (AISTATS, 2020)

On Multiple Semantics for Declarative Database Repairs. - Amir Gilad; Daniel Deutch; Sudeepa Roy 001 (SIGMOD Conference, 2020)

Causal Relational Learning. - Babak Salimi; Harsh Parikh; Moe Kayali; Lise Getoor; Sudeepa Roy 001; Dan Suciu (SIGMOD Conference, 2020)

Computing Local Sensitivities of Counting Queries with Joins. - Yuchao Tao; Xi He 001; Ashwin Machanavajjhala; Sudeepa Roy 001 (SIGMOD Conference, 2020)

Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. - Marco Morucci; Vittorio Orlandi; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (UAI, 2020)

MuSe: Multiple Deletion Semantics for Data Repair. - Amir Gilad; Yihao Hu 001; Daniel Deutch; Sudeepa Roy 001 (Proc. VLDB Endow., 2020)

Aggregated Deletion Propagation for Counting Conjunctive Query Answers. - Xiao Hu 005; Shouzhuo Sun; Shweta Patwa; Debmalya Panigrahi; Sudeepa Roy 001 (Proc. VLDB Endow., 2020)

I-Rex: An Interactive Relational Query Explainer for SQL. - Zhengjie Miao; Tiangang Chen; Alexander Bendeck; Kevin Day; Sudeepa Roy 001; Jun Yang 001 (Proc. VLDB Endow., 2020)

Making AI Machines Work for Humans in FoW. - Sihem Amer-Yahia; Senjuti Basu Roy; Lei Chen 002; Atsuyuki Morishima; James Abello Monedero; Pierre Bourhis; François Charoy; Marina Danilevsky; Gautam Das 001; Gianluca Demartini; Shady Elbassuoni; David Gross-Amblard; et al. (SIGMOD Rec., 2020)

Computing Optimal Repairs for Functional Dependencies. - Ester Livshits; Benny Kimelfeld; Sudeepa Roy 001 (ACM Trans. Database Syst., 2020)

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. - Chenjie Li; Zhengjie Miao; Qitian Zeng; Boris Glavic; Sudeepa Roy 001 (SIGMOD Conference, 2021)

Properties of Inconsistency Measures for Databases. - Ester Livshits; Rina Kochirgan; Segev Tsur; Ihab F. Ilyas; Benny Kimelfeld; Sudeepa Roy 001 (SIGMOD Conference, 2021)

dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. - Neha R. Gupta; Vittorio Orlandi; Chia-Rui Chang; Tianyu Wang 008; Marco Morucci; Pritam Dey; Thomas J. Howell; Xian Sun; Angikar Ghosal; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (CoRR, 2021)

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version). - Chenjie Li; Zhengjie Miao; Qitian Zeng; Boris Glavic; Sudeepa Roy 001 (CoRR, 2021)

Detecting Treatment Effect Modifiers in Social Networks. - Amir Gilad; Harsh Parikh; Babak Salimi; Sudeepa Roy 001 (CoRR, 2021)

Trends in Explanations: Understanding and Debugging Data-driven Systems. - Boris Glavic; Alexandra Meliou; Sudeepa Roy 001 (Found. Trends Databases, 2021)

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. - Tianyu Wang 008; Marco Morucci; M. Usaid Awan; Yameng Liu; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (J. Mach. Learn. Res., 2021)

2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award. - Michael Bender 001; Michael Benedikt; Sudeepa Roy 001 (PODS, 2022)

Causal Inference in Data Analysis with Applications to Fairness and Explanations. - Sudeepa Roy 001; Babak Salimi (RW, 2022)

I-Rex: An Interactive Relational Query Debugger for SQL. - Yihao Hu 001; Zhengjie Miao; Zhiming Leong; Haechan Lim; Zachary Zheng; Sudeepa Roy 001; Kristin Stephens-Martinez; Jun Yang 001 (SIGCSE (2), 2022)

HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. - Sainyam Galhotra; Amir Gilad; Sudeepa Roy 001; Babak Salimi (SIGMOD Conference, 2022)

Understanding Queries by Conditional Instances. - Amir Gilad; Zhengjie Miao; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2022)

Selectivity Functions of Range Queries are Learnable. - Xiao Hu 005; Yuxi Liu; Haibo Xiu; Pankaj K. Agarwal; Debmalya Panigrahi; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2022)

Letter from the Special Issue Editor. - Sudeepa Roy 001; Jun Yang 001 (IEEE Data Eng. Bull., 2022)

CaJaDE: Explaining Query Results by Augmenting Provenance with Context. - Chenjie Li; Juseung Lee 002; Zhengjie Miao; Boris Glavic; Sudeepa Roy 001 (Proc. VLDB Endow., 2022)

Toward Interpretable and Actionable Data Analysis with Explanations and Causality. - Sudeepa Roy 001 (Proc. VLDB Endow., 2022)

DPXPlain: Privately Explaining Aggregate Query Answers. - Yuchao Tao; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (Proc. VLDB Endow., 2022)

Causal What-If and How-To Analysis Using HypeR. - Fangzhu Shen; Kayvon Heravi; Oscar Gomez; Sainyam Galhotra; Amir Gilad; Sudeepa Roy 001; Babak Salimi (ICDE, 2023)

Characterizing and Verifying Queries Via CINSGEN. - Hanze Meng; Zhengjie Miao; Amir Gilad; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference Companion, 2023)

Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA). - Dominik Moritz; Behrooz Omidvar-Tehrani; Sudeepa Roy 001 (SIGMOD Conference Companion, 2023)

A Double Machine Learning Approach to Combining Experimental and Observational Data. - Marco Morucci; Vittorio Orlandi; Harsh Parikh; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (CoRR, 2023)

DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. - Shweta Patwa; Danyu Sun; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (Proc. VLDB Endow., 2023)

Explaining Differentially Private Query Results With DPXPlain. - Tingyu Wang; Yuchao Tao; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (Proc. VLDB Endow., 2023)

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. - Travis Seale-Carlisle; Saksham Jain; Courtney Lee; Caroline Levenson; Swathi Ramprasad; Brandon Garrett; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (AAAI, 2024)

What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract. - Jun Yang 001; Amir Gilad; Yihao Hu 001; Hanze Meng; Zhengjie Miao; Sudeepa Roy 001; Kristin Stephens-Martinez (DataEd@SIGMOD, 2024)

How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk). - Sudeepa Roy 001; Amir Gilad; Yihao Hu 001; Hanze Meng; Zhengjie Miao; Kristin Stephens-Martinez; Jun Yang 001 (ICDT, 2024)

Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. - Seyedeh Baharan Khatami; Harsh Parikh; Haowei Chen; Sudeepa Roy 001; Babak Salimi (CoRR, 2024)

Summarized Causal Explanations For Aggregate Views (Full version). - Brit Youngmann; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001 (CoRR, 2024)

Representation, Provenance, and Explanations in Database Theory and Logic (Dagstuhl Seminar 24032). - Pablo Barceló; Pierre Bourhis; Stefan Mengel; Sudeepa Roy 001 (Dagstuhl Reports, 2024)

Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. - Yihao Hu 001; Amir Gilad; Kristin Stephens-Martinez; Sudeepa Roy 001; Jun Yang 001 (Proc. ACM Manag. Data, 2024)

Evaluating Datalog over Semirings: A Grounding-based Approach. - Hangdong Zhao; Shaleen Deep; Paraschos Koutris; Sudeepa Roy 001; Val Tannen (Proc. ACM Manag. Data, 2024)

Summarized Causal Explanations For Aggregate Views. - Brit Youngmann; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2024)

The Cost of Representation by Subset Repairs. - Yuxi Liu; Fangzhu Shen; Kushagra Ghosh; Amir Gilad; Benny Kimelfeld; Sudeepa Roy 001 (Proc. VLDB Endow., 2024)

Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects. - Seyedeh Baharan Khatami; Harsh Parikh; Haowei Chen; Sudeepa Roy 001; Babak Salimi (AISTATS, 2025)

CauSumX: Summarized Causal Explanations For Group-By-Average Queries. - Nativ Levy; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001; Brit Youngmann (SIGMOD Conference Companion, 2025)

dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference. - Neha R. Gupta; Vittorio Orlandi; Chia-Rui Chang; Tianyu Wang 008; Marco Morucci; Pritam Dey; Thomas J. Howell; Xian Sun; Angikar Ghosal; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (J. Stat. Softw., 2025)

Differentially private explanations for aggregate query answers. - Yuchao Tao; Amir Gilad; Ashwin Machanavajjhala; Sudeepa Roy 001 (VLDB J., 2025)

Refining Labeling Functions with Limited Labeled Data. - Chenjie Li; Amir Gilad; Boris Glavic; Zhengjie Miao; Sudeepa Roy 001 (CoRR, 2025)

Circuits and Formulas for Datalog over Semirings. - Austen Z. Fan; Paraschos Koutris; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2025)

A Unifying Algorithm for Hierarchical Queries. - Mahmoud Abo Khamis; Jesse Comer; Phokion G. Kolaitis; Sudeepa Roy 001; Val Tannen (CoRR, 2025)

Fair and Actionable Causal Prescription Ruleset. - Benton Li; Nativ Levy; Brit Youngmann; Sainyam Galhotra; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2025)