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Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx3

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@jphacks @rioyokotalab @crest-deep @TITAMAS @RotaPlusPlus @Agents-NY @ArtHackDay-Plus1 @MLHPC

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Hiroki11x/README.md

About

Hi! I'm Hiroki Naganuma, a Ph.D. candidate in Computer Science at Université de Montréal and Mila - Quebec AI Institute advised by Professor Ioannis Mitliagkas. Currently, I am a student researcher at Google DeepMind. My research focuses on large-scale parallelization in machine learning and the analysis of training dynamics in deep neural networks.

I hold a B.Sc. (2017) and an M.Sc. (2019) from Tokyo Institute of Technology, where I had the privilege of working closely with Professor Rio Yokota and several outstanding collaborators.

My CV can be found here (Last updated: Sep 2024).

Stats

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  1. horovod/horovod horovod/horovod Public

    Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

    Python 14.3k 2.2k

  2. LossLandscapeGeometry LossLandscapeGeometry Public

    No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths (ICML2024)

    Shell 7

  3. Optimizer_Comparison_OOD Optimizer_Comparison_OOD Public

    Empirical Study on Optimizer Selection for Out-of-Distribution Generalization (TMLR2023)

    Python 5

  4. ConjugateGradient_GAN ConjugateGradient_GAN Public

    Conjugate Gradient Method for Generative Adversarial Networks (AISTATS2023)

    Python 2 1

  5. MLHPC/wandb_tutorial MLHPC/wandb_tutorial Public

    39 1