liamdgray
- Karma
- 46
- Created
- 5 years ago
About
Alumnus: CMU ECE (Research Honors)'95, Qualcomm '95-2000Location: 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)
- 2. ▲ Neural Symbolic Regression that scales (2021) (proceedings.mlr.press)
- 3. ▲ Recasting Self-Attention with Holographic Reduced Representations (2023) (proceedings.mlr.press)
- 4. ▲ Composing Linear Layers from Irreducibles (arxiv.org)
- 5. ▲ Introduction to latent variable energy-based models (2024) (iopscience.iop.org)
- 6. ▲ Modern Methods in Associative Memory (arxiv.org)
- 7. ▲ Dense Associative Memory for Pattern Recognition (2016) (proceedings.neurips.cc)
- 8. ▲ How to put algorithms into neural networks? (2019) [video] (youtube.com)
- 9. ▲ Improved Analytic Learned Iterative Shrinkage Thresholding Algorithm (mdpi.com)
- 10. ▲ In-context denoising with one-layer transformers (openreview.net)