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Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

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Sahel13/README.md

Hi there!

I’m Sahel Iqbal, a third-year PhD student at Aalto University, Finland, where I work with Simo Särkkä. My main research focus is on developing accurate and efficient Monte Carlo algorithms for reinforcement learning and Bayesian experimental design (BED). Recently, I have also developed an interest in how similar algorithms can be used for inference-time alignment of diffusion and large language models.

Where can I find you?

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  1. InsideOutNPF.jl InsideOutNPF.jl Public

    Implements Inside-Out NPF, a nested sequential Monte Carlo algorithm developed for sequential Bayesian experimental design.

    Julia

  2. InsideOutSMC.jl InsideOutSMC.jl Public

    Implements Inside-Out SMC^2, a nested sequential Monte Carlo algorithm developed for Bayesian experimental design in dynamical systems.

    Julia 6

  3. hanyas/psoc hanyas/psoc Public

    Python 3 2

  4. hanyas/parallel-pde hanyas/parallel-pde Public

    Parallel-in-Time Probabilistic Solutions for PDEs

    Jupyter Notebook