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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. My research interests center around large-scale parallelization in machine learning and understanding the training dynamics of deep neural networks.

Previously, I received B.Sc. from Tokyo Institute of Technology in 2017 and M.Sc. from Tokyo Institute of Technology in 2019. In previous years, I have been honored to closely work with Professor Rio Yokota as well as many other exceptional collaborators.

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

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Hiroki Naganuma's Projects

blislab icon blislab

BLISlab: A Sandbox for Optimizing GEMM

cnn-models icon cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

convnet-drawer icon convnet-drawer

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

horovod icon horovod

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

ofxanimationutility icon ofxanimationutility

openFrameworksでAnimationを簡単に実装するライブラリプロジェクト

ofxquadwarp icon ofxquadwarp

openframeworks addon for quad warp transformations using openGL.

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