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Achievements

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

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prakharverma/README.md

I am a final-year Ph.D. student in machine learning at Aalto University, Finland, advised by Prof. Arno Solin, with publications at NeurIPS, AISTATS, and ICML. My research spans both academic and industrial research through roles at Adobe Research, Microsoft Research, University of Oxford, and TomTom. Through my research I aim to explore techniques for efficient reasoning and planning in large language models (LLMs), principled downstream applications of LLMs using Bayesian principles, probabilistic machine learning, and efficient inference techniques.

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  1. GPflow/GPflow GPflow/GPflow Public

    Gaussian processes in TensorFlow

    Python 1.9k 431

  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 12 3