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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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prakharverma/README.md

I am a machine learning Ph.D. student with Arno Solin's research group at Aalto University, Finland. I am broadly interested in probabilistic modeling and efficient inference techniques. For my master’s thesis, I researched on developing variational inference techniques for non-linear SDEs. Recently, my work has focused on sequential decision-making models that need computationally efficient and well-calibrated uncertainty.

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  1. GPflow/GPflow GPflow/GPflow Public

    Gaussian processes in TensorFlow

    Python 1.9k 434

  2. MLGlobalHealth/PriorCVAE MLGlobalHealth/PriorCVAE Public

    The PriorCVAE method extends PriorVAE (Semenova et al, Royal Society Interface 2022) to enable parameter inference

    Python 4

  3. AaltoML/scalable-inference-in-sdes AaltoML/scalable-inference-in-sdes Public

    Methods and experiments for assumed density SDE approximations

    Jupyter Notebook 11 2