Who
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Devin de Hueck
Summary
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A Boston University student interested in machine learning research, mathematics, and cooking.
Description
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I've been doing a lot of reading and programming when I can ignore coursework. Outside of it all, I am currently reading: Dune by Frank Herbert in preparation for the upcoming movie. In the meantime, you can see what I'm up-to below! You can find my GitHub here and feel free to send me an email (in github bio).
What I'm doing now
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This is an up-to-date (hopefully) summary of what I am currently spending time on. See past entries here.
- Building a bookmark manager with a built-in recommendation engine over winter break!
- Interned at VODA.ai this summer and through December - great people and great work getting done there.
- Giving a workshop on representation learning with a case study in word2vec for BUMIC.
- Submitted my first research paper to KDD 2020!
Projects
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Click to go to the project's page! Or view all my projects here.
- BostonCracks - bostonhacks [2018] submission - My team's submission which won the data science track.
- PyTorch-NEAT [2018] - A PyTorch implementation of Kenneth O. Stanley's Neuroevolution of Augmenting Topologies (NEAT) paper.
- Arxival.org [2016] - A 'featurized' arxiv.org to make keeping up with research papers simpler and more organized.
Recent Research Papers I've Read
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I decided to keep track of all the papers I've been reading here! These are just the most recent view all here.
- Tian, Chunwei, et al. "Deep Learning on Image Denoising: An overview." arXiv preprint arXiv:1912.13171 (2019).
- Schölkopf, Bernhard. "Causality for Machine Learning." arXiv preprint arXiv:1911.10500 (2019).
- Lamb, Alex, et al. "SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks." arXiv preprint arXiv:1912.11570 (2019).
- Bengio, Yoshua, Aaron Courville, and Pascal Vincent. "Representation learning: A review and new perspectives." IEEE transactions on pattern analysis and machine intelligence 35.8 (2013): 1798-1828.
Contact Me
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Email: ddehueck@bu.edu | Twitter: @ddehueck