Publications

RuleFlow: Generating Reusable Program Optimizations with LLMs
Avaljot Singh, Dushyant Bharadwaj, Stefanos Baziotis, Kaushik Varadharajan, Charith Mendis
arXiv 2026
GitHub

AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
Shraddha Barke, Arnav Goyal, Alind Khare, Avaljot Singh, Suman Nath, Chetan Bansal
arXiv 2026

Unified Operation Formalism for LLM-based Theorem Proving Systems
Avaljot Singh, Shaurya Gomber, Yamin Sarita, Jose Meseguer, Gagandeep Singh
Under Review 2026

Lumos: Let there be Language Model System Certification
Isha Chaudhary, Vedaant Jain, Avaljot Singh, Kavya Sachdeva, Sayan Ranu, Gagandeep Singh
arXiv 2026

Cost-Driven Synthesis of Sound Abstract Interpreters
Qiuhan Gu, Avaljot Singh, Gagandeep Singh
arXiv 2025

A Tensor-Based Compiler and a Runtime for Neuron-Level DNN Certifier Specifications
Avaljot Singh, Yasmin Sarita, Aditya Mishra, Ishaan Goyal, Gagandeep Singh, Charith Mendis
arXiv 2025

Efficient Ranking Function-Based Termination Analysis with Bi-Directional Feedback
Yasmin Sarita, Avaljot Singh, Shaurya Gomber, Gagandeep Singh, Mahesh Vishwanathan
ESOP 2026
GitHub

Safety and Trust in Artificial Intelligence with Abstract Interpretation
Gagandeep Singh, Jacob Laurel, Sasa Misailovic, Debangshu Banerjee, Avaljot Singh, Changming Xu, Shubham Ugare, Huan Zhang
Foundations and Trends in Programming Languages, 2025

Automated Verification of Soundness of DNN Certifiers
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
OOPSLA 2025
GitHub

ConstraintFlow: A DSL for Specification and Verification of Neural Network Analyses
Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh
Static Analysis Symposium (SAS) 2024
SRC @ PLDI 2023 (Bronze Medal)

Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
ICML 2024
ICLR 2024, WFVML @ ICML 2023 (Outstanding Paper)