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I made my computer learn today!
:bowtie:
I made my computer learn today!

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kumar-shridhar/README.md

Hi there 👋

I am a third year PhD student at ETH Zürich in Switzerland, supervised by Prof. Mrinmaya Sachan and Nicholas Monath from Google DeepMind. My PhD research investigate how generative LLMs reason, what factors affect their reasoning performance, and how to optimize their reasoning skills.

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  1. PyTorch-BayesianCNN PyTorch-BayesianCNN Public

    Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

    Python 1.4k 324

  2. Screws Screws Public

    SCREWS: A Modular Framework for Reasoning with Revisions

    Python 26 3

  3. eth-nlped/socratic-generation eth-nlped/socratic-generation Public

    Automatic Generation of Scaffolding Questions for Learning Math, EMNLP 2022

    Python 23 2

  4. Master-Thesis-BayesianCNN Master-Thesis-BayesianCNN Public

    Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

    TeX 263 83