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Research Associate

Mihaela
Cătălina Stoian

Mihaela Cătălina Stoian is a postdoctoral researcher at Imperial College London working on constraining LLMs for theorem proving. She recently completed her PhD at the University of Oxford, where her work focused on developing neuro-symbolic methods that integrate background knowledge constraints into neural networks for real-world applications. Her contributions to the field have been recognised with several awards, including the Oxford PhD Runner-up Prize awarded by G-Research. Previously, she worked on detecting reflective symmetries in 3D models at Five AI and completed her Master’s in speech-to-text machine translation at the University of Edinburgh.

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Papers

News

  • 08-2026 Tutorial at UAI 2026 in Amsterdam Mihaela and Eleonora will give a tutorial at UAI 2026 in Amsterdam (17–21 August): Beyond Soft Penalties: Hard Constraints for Neural Networks with Continuous Outputs — how to enforce hard constraints on neural networks with continuous outputs.
  • 07-2026 Mihaela awarded an IX-WAI Early Career Grant 🎉 Huge congratulations to Mihaela, who has been awarded one of Imperial College London’s IX-WAI Early Career Grants! ✨
  • 06-2026 Pythagoras-Prover released! 🚀 We are thrilled to announce the release of Pythagoras-Prover — a compute-efficient family of Lean theorem provers! Strong results at just 4B parameters, powered by Augmented Lean Formalisation. The models are now available on Hugging Face 🤗
  • 04-2026 Paper accepted at ICML 2026 Our paper Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models has been accepted at ICML 2026.
  • 01-2026 Survey published in TMLR Our survey A Survey on Deep Learning Approaches for Tabular Data Generation has been published in Transactions on Machine Learning Research (TMLR).