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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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32 papers · 1 filter

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…

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…

cs.PL2024★ 4 cited

From Batch to Stream: Automatic Generation of Online Algorithms

Ziteng Wang, Shankara Pailoor, Aaryan Prakash +2

Online streaming algorithms, tailored for continuous data processing, offer substantial benefits but are often more intricate to design than their offline counterparts. This paper…

cs.PL2023

Data Extraction via Semantic Regular Expression Synthesis

Qiaochu Chen, Arko Banerjee, Çağatay Demiralp +2

Many data extraction tasks of practical relevance require not only syntactic pattern matching but also semantic reasoning about the content of the underlying text. While regular ex…

cs.PL2023★ 12 cited

ImageEye: Batch Image Processing Using Program Synthesis

Celeste Barnaby, Qiaochu Chen, Roopsha Samanta +1

This paper presents a new synthesis-based approach for batch image processing. Unlike existing tools that can only apply global edits to the entire image, our method can apply fine…

cs.PL2022★ 2 cited

Type-Directed Synthesis of Visualizations from Natural Language Queries

Qiaochu Chen, Shankara Pailoor, Celeste Barnaby +4

We propose a new technique based on program synthesis for automatically generating visualizations from natural language queries. Our method parses the natural language query into a…

cs.PL2022

Metric Program Synthesis

John Feser, Isil Dillig, Armando Solar-Lezama

We present a new domain-agnostic synthesis technique for generating programs from input-output examples. Our method, called metric program synthesis, relaxes the well-known observa…

cs.PL2022★ 1 cited

Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version)

Benjamin Mariano, Yanju Chen, Yu Feng +2

While many mainstream languages such as Java, Python, and C# increasingly incorporate functional APIs to simplify programming and improve parallelization/performance, there are no…

cs.PL2022

Synthesizing Fine-Grained Synchronization Protocols for Implicit Monitors (Extended Version)

Kostas Ferles, Benjamin Sepanski, Rahul Krishnan +2

A monitor is a widely-used concurrent programming abstraction that encapsulates all shared state between threads. Monitors can be classified as being either implicit or explicit de…

cs.PL2021

Bottom-up Synthesis of Recursive Functional Programs using Angelic Execution

Anders Miltner, Adrian Trejo Nuñez, Ana Brendel +2

We present a novel bottom-up method for the synthesis of functional recursive programs. While bottom-up synthesis techniques can work better than top-down methods in certain settin…

cs.PL2021★ 1 cited

Web Question Answering with Neurosymbolic Program Synthesis

Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang +3

In this paper, we propose a new technique based on program synthesis for extracting information from webpages. Given a natural language query and a few labeled webpages, our method…

cs.PL2020★ 3 cited

Verifying Correct Usage of Context-Free API Protocols (Extended Version)

Kostas Ferles, Jon Stephens, Isil Dillig

Several real-world libraries (e.g., reentrant locks, GUI frameworks, serialization libraries) require their clients to use the provided API in a manner that conforms to a context-f…

cs.PL2020★ 47 cited

LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Jiayi Wei, Maruth Goyal, Greg Durrett +1

As gradual typing becomes increasingly popular in languages like Python and TypeScript, there is a growing need to infer type annotations automatically. While type annotations help…

cs.PL2019★ 3 cited

Visualization by Example

Chenglong Wang, Yu Feng, Rastislav Bodik +2

While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy task. Besides understanding the…

cs.PL2019★ 1 cited

Multi-modal Synthesis of Regular Expressions

Qiaochu Chen, Xinyu Wang, Xi Ye +2

In this paper, we propose a multi-modal synthesis technique for automatically constructing regular expressions (regexes) from a combination of examples and natural language. Using…

cs.PL2019★ 84 cited

Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

Greg Anderson, Shankara Pailoor, Isil Dillig +1

In recent years, the notion of local robustness (or robustness for short) has emerged as a desirable property of deep neural networks. Intuitively, robustness means that small pert…

cs.PL2019★ 4 cited

Synthesizing Database Programs for Schema Refactoring

Yuepeng Wang, James Dong, Rushi Shah +1

Many programs that interact with a database need to undergo schema refactoring several times during their life cycle. Since this process typically requires making significant chang…

cs.PL2018★ 58 cited

Formal Specification and Verification of Smart Contracts for Azure Blockchain

Yuepeng Wang, Shuvendu K. Lahiri, Shuo Chen +4

Ensuring correctness of smart contracts is paramount to ensuring trust in blockchain-based systems. This paper studies the safety and security of smart contracts in the \emph{Azure…

cs.PL2018

Relational Program Synthesis

Yuepeng Wang, Xinyu Wang, Isil Dillig

This paper proposes relational program synthesis, a new problem that concerns synthesizing one or more programs that collectively satisfy a relational specification. As a dual of r…