Hrayr Harutyunyan (hrayrhar)

hrayrhar

Geek Repo

Location:New York, New York

Home Page:hrayrhar.github.io

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Organizations
YerevaNN

Hrayr Harutyunyan's repositories

limit-label-memorization

Improving generalization by controlling label-noise information in neural network weights.

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T-CorEx

Implementation of linear CorEx and temporal CorEx.

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f-CMI

Information-theoretic generalization bounds for black-box algorithms

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YSU-ACM-ICPC-Team-Notebook-2017

ACM ICPC World Finals 2017 Team Notebook of the "Yerevan State University 1" Team

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nnlib

PyTorch based NN modules frequently used in various projects

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awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

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aws-cv-unique-information

We define and estimate smooth unique information of samples with respect to classifier weights and predictions. We compute these quantities for linearized neural networks.

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deepdream_c

Minimalistic DeepDream with C89

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disentangled_vae

Replicating "Understanding disentangling in β-VAE"

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disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

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GenAI-resources

Resources for the FAST Generation AI program

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hrayrhar.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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LinearCorex

Linear Total Correlation Explanation

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regain

REGAIN (Regularised Graphical Inference)

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wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

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