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Circuits for Datalog Provenance., , , and . ICDT, page 201-212. OpenProceedings.org, (2014)Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference., , , , , , , , and . AAAI, page 22331-22340. AAAI Press, (2024)Hiding Data and Structure in Workflow Provenance., , and . DNIS, volume 7108 of Lecture Notes in Computer Science, page 41-48. Springer, (2011)Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases., , , and . UAI, AUAI Press, (2013)Characterizing and Verifying Queries Via CINSGEN., , , , and . SIGMOD Conference Companion, page 143-146. ACM, (2023)Computing Local Sensitivities of Counting Queries with Joins., , , and . SIGMOD Conference, page 479-494. ACM, (2020)Causal Relational Learning., , , , , and . SIGMOD Conference, page 241-256. ACM, (2020)2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award., , and . PODS, page 103-104. ACM, (2022)How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk)., , , , , , and . ICDT, volume 290 of LIPIcs, page 2:1-2:9. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2024)Counting of Query Expressions: Limitations of Propositional Methods., , , and . ICDT, page 177-188. OpenProceedings.org, (2014)