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Achievements

Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

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smsharma/README.md

Hi! 👋🏽

I'm a physicist and machine learning researcher at Anthropic and incoming faculty at BU. Previously at The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) at MIT.

I work at the intersection of differentiable programming, machine learning, particle physics, and astrophysics and am especially interested in developing and using novel statistical techniques to accelerate the search for new physics. A list of my recent publications may be found on ADS or Google Scholar.

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  1. point-cloud-galaxy-diffusion point-cloud-galaxy-diffusion Public

    Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141

    Jupyter Notebook 21 3

  2. eqnn-jax eqnn-jax Public

    Annotated implementations of equivariant graph neural networks in Jax: EGNN, SEGNN, NequIP.

    Python 22 2

  3. minified-generative-models minified-generative-models Public

    Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc

    Jupyter Notebook 123 8

  4. PAPERCLIP-Hubble PAPERCLIP-Hubble Public

    Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851 (COLM 2023).

    Jupyter Notebook 14

  5. awesome-neural-sbi awesome-neural-sbi Public

    Community-sourced list of papers and resources on neural simulation-based inference.

    96 6

  6. consistency-models consistency-models Public

    Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.

    Jupyter Notebook 18 1