About QDR Labs

QDR Labs is an independent research program working at the intersection of theoretical physics, mathematics, statistics, cognitive science, and machine learning. The work here is exploratory by design first: papers, technical notes, and recorded lectures pursued under the conviction that the most interesting problems sit in the seams between fields rather than safely inside any one of them, and then the generation of ML code (Jupyter Python/Julia notebooks executed in a sandbox Google Colab environment with readily available GPUs and TPUs).

Every paper published through this notebook is also deposited and submitted to a public repository — Zenodo, Academia.edu, or ResearchGate — so that anything claimed here can be cited, audited, and built upon. The code that accompanies a result is released openly via a corresponding GitHub repository. Negative results and partial progress are written up alongside the polished work, because what didn’t quite hold together is often more instructive than what did.

This site is the working surface of that program: a place to read the papers in their natural habitat, follow the longer arc of the research, and watch the lectures, discussions, and live derivations as they’re recorded. It is a record of ongoing, evergreen inquiries and their evolving results. We staunchly hold that statically held journal articles are lifeless. Creators and co-authors of those articles, insights, and ideas should, when physically possible, revise their respective works so that overarching new and more powerful paradigms and/or subsequent updates breathe life back into them.

How to cite work from this site

For papers and code, please cite the version of record on its host repository (Zenodo, Academia.edu, ResearchGate, or arXiv) using the DOI or repository link shown on the paper’s page. A pre-formatted citation and a BibTeX entry are provided beneath every paper for convenience.

For blog posts, technical notes, and lecture recordings that exist only on this site, please cite as:

Sepulveda-Jimenez, A.. ([Year]). [Title]. QDR Labs. URL: [permalink]

Informal reference is welcome, and no permission is required to quote, link to, or build on anything published here under fair use; site content is released under CC BY 4.0 unless an individual page states otherwise.