Paul Jason Mello

About Me

Hi, I'm Paul! A PhD student at the University of Nevada, Reno researching the fundamentals of artificial intelligence. My passion is extracting, optimizing, and generalizing the fundamentals of AI systems through the lens of information. Currently, I am developing methods for improving model generalization in high-dimensional feature manifolds where observational samples are limited.

For collaborations or questions, feel free to reach out via my email or socials.

Blogs

• [LTCN Research] Liquid Time-Constant Networks [June 2, 2025]
• [SNN Research] Sheaf Neural Networks [May 19, 2025]
[Thoughts On] Tweedie's Formula [May 16, 2025]
[Noise Research] Perturbation Driven Generalization [May 5, 2025]
[Paper Review] Learning to Compress: Local Rank and Information Compression in Deep Neural Networks [October 22, 2024]

Projects

• [Matrix Research] Random Matrix Theory [August 29, 2025]
• [Gating Research] Gated Cell Networks [July 15, 2025]
[HYLA Implementation] Hypernetwork Linear Attention [June 11, 2025]
[Capacity Research] Modern and Traditional Hopfield Networks [June 7, 2025]
[LTCN Implementation] Liquid Time-Constant Networks [May 26, 2025]

Publications

• [Master's Thesis] An Exploration of Information Processing in Diffusion Models [August 16, 2024]
• [IEEE Publication] Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems [April 12, 2024]

Education

• PhD in Computer Science and Engineering - University of Nevada, Reno Fall 2024 - Present
• MSc in Artificial Intelligence - San José State University Fall 2021 - Spring 2024
• BSc in Computer Science - California State University, Sacramento Fall 2016 - Spring 2021
  • Minors: Mathematics, Philosophy