activity
20162026
most citedOptimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

84 citations · 356 across the 59 of their papers we have counts for

collaborators

60 papers

cs.PL2026★ 1 cited

Optimal Predicate Pushdown Synthesis

Robert Zhang, Eric Hayden Campbell, Dixin Tang +1

Predicate pushdown is a long-standing performance optimization that filters data as early as possible in a computational workflow. In modern data pipelines, this transformation is…

cs.PL2026

Choose, Don't Label: Multiple-Choice Query Synthesis for Program Disambiguation

Celeste Barnaby, Danny Ding, Osbert Bastani +1

High-level specifications of code are inherently ambiguous, and prior systems have explored interactive techniques to help users clarify their intent and resolve such ambiguities.…

cs.PL2025★ 1 cited

Active Learning for Neurosymbolic Program Synthesis

Celeste Barnaby, Qiaochu Chen, Ramya Ramalingam +2

The goal of active learning for program synthesis is to synthesize the desired program by asking targeted questions that minimize user interaction. While prior work has explored ac…

cs.PL2025

Probabilistic Inference for Datalog with Correlated Inputs

Jingbo Wang, Shashin Halalingaiah, Weiyi Chen +2

Probabilistic extensions of logic programming languages, such as ProbLog, integrate logical reasoning with probabilistic inference to evaluate probabilities of output relations; ho…

cs.PL2025

Homomorphism Calculus for User-Defined Aggregations

Ziteng Wang, Ruijie Fang, Linus Zheng +2

Data processing frameworks like Apache Spark and Flink provide built-in support for user-defined aggregation functions (UDAFs), enabling the integration of domain-specific logic. H…

cs.PL2025

Graphiti: Bridging Graph and Relational Database Queries

Yang He, Ruijie Fang, Isil Dillig +1

This paper presents an automated reasoning technique for checking equivalence between graph database queries written in Cypher and relational queries in SQL. To formalize a suitabl…