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@NeuralLikelihoodFreeInference @Kinds-of-Intelligence-CFI

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LoryPack/README.md

Hi there 👋

I am a Research Associate at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, where I work on predictability and cognitive-oriented evaluation of AI systems, together with Prof José Hernández-Orallo and Dr Lucy Cheke.

I previously worked on detecting lying in large language models with Dr Owain Evans and on technical standards for AI for the EU AI Act at the Future of Life Institute. I am deeply interested in AI policy (particularly at the EU level).

I obtained a PhD in Statistics and Machine Learning at Oxford, during which I worked on Bayesian simulation-based inference, generative models and probabilistic forecasting (with applications to meteorology). My supervisors were Prof. Ritabrata Dutta (Uni. Warwick) and Prof. Geoff Nicholls (Uni. Oxford).

Before my PhD studies, I obtained a Bachelor's degree in Physical Engineering from Politecnico di Torino (Italy) and an MSc in Physics of Complex Systems from Politecnico di Torino and Université Paris-Sud, France. I carried out my MSc thesis at LightOn, a machine learning startup in Paris.

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  1. LLM-LieDetector LLM-LieDetector Public

    Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"

    Jupyter Notebook 57 9

  2. eth-cscs/abcpy eth-cscs/abcpy Public

    ABCpy package

    Python 112 34

  3. BPMF BPMF Public

    Python implementation of Bayesian Probabilistic matrix Factorization algorithm.

    Jupyter Notebook 23 11

  4. bobby-he/Neural_Tangent_Kernel bobby-he/Neural_Tangent_Kernel Public

    Jupyter Notebook 65 8

  5. SM-ExpFam-LFI SM-ExpFam-LFI Public

    Code for the paper: "Score Matched Conditional Exponential Families for Likelihood-Free Inference", https://jmlr.org/papers/v23/21-0061.html

    Python 7 4

  6. GenerativeNetworksScoringRulesProbabilisticForecasting GenerativeNetworksScoringRulesProbabilisticForecasting Public

    Python 8 2