About me

Since October 2021, I am a PhD student at LaBRI, Université de Bordeaux, under the supervision of Nathanaël Fijalkow and was also under the supervision of Laurent Simon until April 2022. I graduated from ENSEIRB-MATMECA in September 2021 with a major in AI. Mentor of Clara Marcille.

You can send me an email at theomatricon@gmail.com.

Feel free to send me a mail just to chat about some interesting work, not necessarily yours!

Research Interests

• Program Synthesis, Code Generation
• Improving the software development pipeline
• Comparative performance of algorithm performances or managing performance variability
• Reinforcement Learning
• Machine Learning tools that can help reduce environmental impact

Honestly everything’s interesting there’s just not enough time but I would like to emphasize that I am more interested in research that stands the test of time (for time = some years not a few months).

News

Current:

• Will defend my thesis at the end of November
• After defending my thesis, I will join DiverSE as a PostDoc
• Actively participating to the working group on psychosocial risks in my lab

2024:

• July 5: I was at the opening meeting of the LLM4Code project
• June 2-7: I was at the Dagsthul seminar on “Stochastic Games”
• June 17: I gave a talk on “Code Generation and Program Synthesis: where are we?” at a regional AI event
• June - July: Chaimaa Radiousse is working with me on estimating mixtures of stable distributions
• May - July: An intern Maxence is working on multi agent reinforcement learning in order to balance board games supervised by Guillaume Lagarde, Gabriel Bathie and I.
• March - July: Baptiste Mouillon is working on fast approaches for LTL learning with Nathanaël Fijalkow, Pierre Vandenhove, Gabriel Bathie and I.
• April 25-26: I was at GT DAAL in Rennes
• March-April: in Rennes from March 18 to April 26 to work with Mathieu Acher and the DiverSe team
• April 11: I gave a talk at 68nqrt seminar about “Scaling enumerative domain-agnostic program synthesis”
• March 28: I gave a talk at DiverSe Coffee
• February - Avril: Sylvain is working with Nathanaël Fijalkow, Pierre Vandenhove, Guillaume Lagarde and me on program synthesis for reinforcement learning
• Nov. 23 - March 24: Gianni Padula is working with Nathanaël Fijalkow, Pierre Vandenhove and me on a new reactive synthesis algorithm
• February: I gave a talk at Progress, a software engineering research team, on “Code Generation vs Program Synthesis”
• January: I took part in the organization and in the events of AI4Industry to talk about the PhD

2023:

• December: I went to the GDR GLIA in Paris to talk about WikiCoder
• November: With the other PhD Students in the psychosocial risks we’ve created a listening and speaking group for PhD students to be listened to in a safe space
• November: Gaëtan Margueritte is asking for more program synthesis and joined us as a research engineer until March.
• October: I invited Natacha Portier to talk about Impostor Syndrom to PhD Students
• September: I was at the Dagstuhl meeting on “The Futures of Reactive Synthesis” report.
• June: I am now mentoring Clara Marcille.
• June-July: I welcomed two interns:
  • 5th June to 29th July: Félix Yvonnet to work on restarts;
  • 19th June to 29th July: Priscilla Tissot to work on predictions.
• April 27: I presented WikiCoder: Learning to Write Knowledge-Powered Code at SPIN (ETAPS) in Paris.
• April 21: I presented our ongoing work on language sharpening at GT DAAL in Paris.
• March: I visited the Warsaw University (MIMUW) for two weeks.
• February: Our paper WikiCoder: Learning to Write Knowledge-Powered Code has been accepted at SPIN (ETAPS).
• January: Our paper Challenges of Acquiring Compositional Inductive Biases via Meta-Learning is finally published in the ECML/PKDD Workshop on Meta-Knowledge Transfer

2022:

• December: I am now finance officer of the local PhD association!
• October: I’m in Warsaw (MIMUW) for a visit!
• July: I gave a talk at GT Vérif in LaBRI on strategies as trees in MDPs.
• May - July: Utkarsh Rajan joined us for an internship on DeepSynth.
• March - June: Gaëtan Margueritte joined us for an internship on DeepSynth.
• February 25/26/27: I presented our DeepSynth paper at AAAI 2022 (Oral).
• February 11: Nathanaël Fijalkow has successfully defended his HDR.

2021:

• December 9: I participated in NAIA.R to mediate about AI.
• October 29, 30: Presentation at CP 2021 of our paper: Statistical Comparison of Algorithm Performance Through Instance Selection.
• October 2021: Now a PhD student at LaBRI.