liamdgray

Karma: 46
Created: 4 years ago

About

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

Recent Submissions

1. ▲ ISR: Invertible Symbolic Regression (2024) (arxiv.org) 7 points · 9 months ago · 1 comment
2. ▲ Neural Symbolic Regression that scales (2021) (proceedings.mlr.press) 1 point · 9 months ago · 1 comment
3. ▲ Recasting Self-Attention with Holographic Reduced Representations (2023) (proceedings.mlr.press) 2 points · 9 months ago · 1 comment
4. ▲ Composing Linear Layers from Irreducibles (arxiv.org) 2 points · 9 months ago · 1 comment
5. ▲ Introduction to latent variable energy-based models (2024) (iopscience.iop.org) 2 points · 9 months ago · 1 comment
6. ▲ Modern Methods in Associative Memory (arxiv.org) 5 points · 9 months ago · 1 comment
7. ▲ Dense Associative Memory for Pattern Recognition (2016) (proceedings.neurips.cc) 2 points · 9 months ago · 1 comment
8. ▲ How to put algorithms into neural networks? (2019) [video] (youtube.com) 3 points · 9 months ago · 1 comment
9. ▲ Improved Analytic Learned Iterative Shrinkage Thresholding Algorithm (mdpi.com) 2 points · 9 months ago · 1 comment
10. ▲ In-context denoising with one-layer transformers (openreview.net) 3 points · 9 months ago · 1 comment

All submissions on HN · View profile on HN