[weeye] - Home
I am currently an undergraduate student with my main research interests in geometric and topological deep learning, my work over at Lossfunk has been involved with artifical life and NCA's, how we can extract deep insights from basic life forms to build upon our current understanding of consciousness. I mostly use this site to archive links that I find worthy of going through on the internet and sometimes post my thoughts, if any of the above feel interesting to you, I would love to have a chat anytime on Twitter or you can drop a mail at theweeye at proton dot me See all posts → See all bookmarks →
Home I am currently an undergraduate student with my main research interests in geometric and topological deep learning, my work over at Lossfunk has been involved with artificial life and NCAs, specifically on how we can extract deep insights from simple life forms to build upon our current understanding of consciousness. I mostly use this site to archive links that I find worthy of going through on the internet and sometimes post my thoughts, if any of the above feel interesting to you, I would love to have a chat anytime on Twitter or you can drop a mail at theweeye at proton dot me Links p
related reading
- Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gaugesarxiv.org
- Neural Networks, Manifolds, and Topology -- colah's blogcolah.github.io
- The World Inside Neural Networksgoodfire.ai
- Home - colah's blogcolah.github.io
- Neural Networks, Types, and Functional Programming -- colah's blogcolah.github.io
- Understanding Deep Learningudlbook.github.io
- [2510.26745] Deep sequence models tend to memorize geometrically; it is unclear whyarxiv.org
- GitHub - jacobhilton/deep_learning_curriculum: Language model alignment-focused deep learning curriculumgithub.com
- Symmetry and Geometry in Neural Representationsproceedings.mlr.press
- Deep Learning is Applied Topologytheahura.substack.com
- Interpretability Dreamstransformer-circuits.pub
- Introduction to Deep Learning Research · Introduction to Deep Learning Researchatcold.github.io