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user: liamdgray
created: 2021-06-08
karma: 46

Alumnus: CMU ECE '95, Qualcomm 1995-2000

Location: Arizona, USA; Time zone = UTC-7

Liam D. Gray & Associates

AI-powered data, analysis, and automation

https://liamdgray.com

LinkedIn: https://www.linkedin.com/in/liamdgray/

Github: https://github.com/LiamDGray

Email: first initial last name 95 at alumni dot my alma mater (3-letter acronym) dot edu

submissions:

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ISR: Invertible Symbolic Regression (2024)
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Neural Symbolic Regression that scales (2021)
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Recasting Self-Attention with Holographic Reduced Representations (2023)
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Composing Linear Layers from Irreducibles
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Introduction to latent variable energy-based models (2024)
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Modern Methods in Associative Memory
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Dense Associative Memory for Pattern Recognition (2016)
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How to put algorithms into neural networks? (2019) [video]
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Improved Analytic Learned Iterative Shrinkage Thresholding Algorithm
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In-context denoising with one-layer transformers
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Algorithm Unrolling: Interpretable, Efficient Deep Learning for Sig&Img (2019)
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Hopfield Networks Is All You Need (2020)
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