Hiroki Naganuma

Doctoral Student at Mila - Quebec Artificial Intelligence Institute

Montreal, Quebec, Canada
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Summary

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Hiroki Naganuma is a PhD candidate at Université de Montréal and Mila specializing in the training dynamics and generalization of deep neural networks, advised by Prof. Ioannis Mitliagkas. Over 11 years of experience span academic research and industry internships at DeepMind, Meta, Microsoft Research, IBM, and LinkedIn, yielding publications in AISTATS and TMLR. His work blends theoretical insights—information geometry, smoothing losses, and optimization—with practical systems skills in Python, C++, and CUDA for large-scale and HPC settings. He has repeatedly bridged lab and industry needs, producing algorithms for robust training, calibration, and efficient large-batch/large-model workflows. Notably, his profile reflects a pattern of short, high-impact collaborations across top AI labs, signaling an ability to move ideas from theory to deployable systems.
code11 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Montréal
bookMaster's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Tokyo Institute of Technology
book4.9/5.0, 4.9/5.0 at Chuo University Suginami High School
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Stackoverflow

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Github Skills (50)

chainer10
openframeworks10
cudnn10
caffe9
python9
cupy9
gpu9
baidu9
cuda9
deep-learning8
keras8
machine-learning8
mxnet8
animation7
in-progress7

Programming languages (4)

CSSC++Jupyter NotebookPython

Github contributions (5)

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rioyokotalab/svd

Dec 2016 - Jan 2017

Contributions:29 PRs, 249 pushes, 2 branches in 17 days
Contributions:20 commits, 10 PRs, 22 pushes in 15 days
kotlinandroidandroid-activity
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Hiroki Naganuma - Doctoral Student at Mila - Quebec Artificial Intelligence Institute