https://github.com/msuzen/research
Memo's research works.
https://github.com/msuzen/research
causal-inference deep-learning do-calculus dynamical-systems ergodic ergodic-hypothesis ergodicity machine-learning monte-carlo random-matrix-theory statistical-mechanics statistical-physics symbolic-dynamics theoretical-physics
Last synced: 5 months ago
JSON representation
Memo's research works.
- Host: GitHub
- URL: https://github.com/msuzen/research
- Owner: msuzen
- Created: 2023-10-13T14:34:13.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-11-27T06:15:58.000Z (6 months ago)
- Last Synced: 2025-11-29T22:47:28.741Z (6 months ago)
- Topics: causal-inference, deep-learning, do-calculus, dynamical-systems, ergodic, ergodic-hypothesis, ergodicity, machine-learning, monte-carlo, random-matrix-theory, statistical-mechanics, statistical-physics, symbolic-dynamics, theoretical-physics
- Language: Jupyter Notebook
- Homepage:
- Size: 157 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Research: Memo
[](https://arxiv.org/abs/1606.08693)
[](https://doi.org/10.5281/zenodo.17151290)
[](https://arxiv.org/abs/2508.08319)
[](https://doi.org/10.5281/zenodo.17052627)
[](https://arxiv.org/abs/2505.23869)
[](https://doi.org/10.5281/zenodo.15751974)
[](https://arxiv.org/abs/2310.01458)
[](https://doi.org/10.5281/zenodo.17232806)
[](https://arxiv.org/abs/2503.03769)
[](https://doi.org/10.5281/zenodo.17158156)
Supporting material for some of the research works of Dr. Suezen.
## Projects
* [ergodicity_symbolic_dynamics](ergodicity_symbolic_dynamics)
* [gibbs-randomness-compression](gibbs-randomness-compression)
* [ising_conway_thermal](ising_conway_thermal)
* [h-do-conjecture](h-do-conjecture)
* [mixedRMT](mixedRMT)
* [ergodicity_anomalous_convergence](ergodicity_anomalous_convergence)
## License
Check individual projects for their respective license terms.