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

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Showing 2025Show all

6 papers · 1 filter

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…

cs.SE2025★ 2 cited

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation

Anirudh Khatry, Robert Zhang, Jia Pan +4

C-to-Rust transpilation is essential for modernizing legacy C code while enhancing safety and interoperability with modern Rust ecosystems. However, no dataset currently exists for…

cs.PL2025

Automated Discovery of Tactic Libraries for Interactive Theorem Proving

Yutong Xin, Jimmy Xin, Gabriel Poesia +3

Enabling more concise and modular proofs is essential for advancing formal reasoning using interactive theorem provers (ITPs). Since many ITPs, such as Rocq and Lean, use tactic-st…