Papers

• A Hybrid, Knowledge-Guided Evolutionary Framework for Personalized Compiler Auto-Tuning (2025)
  Haolin Pan et al.
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• Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction (2018)
  Anh Viet Phan et al.
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• Neural Bug Finding: A Study of Opportunities and Challenges (2019)
  Andrew Habib and Michael Pradel
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• Energy-Based Models for Code Generation under Compilability Constraints (2021)
  Tomasz Korbak and Hady Elsahar and Marc Dymetman and Germ\'an Kruszewski
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• Nonparametric Hamiltonian Monte Carlo (2021)
  Carol Mak et al.
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• Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming (2022)
  Guilherme Espada et al.
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• MTGP: Combining Metamorphic Testing and Genetic Programming (2023)
  Dominik Sobania et al.
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• Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism (2023)
  Edward Pantridge et al.
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