The architecture of the vector-quantized variational autoencoder lends itself well to non-linear clustering of complex datasets. I wrote code in PyTorch to find archetypal protein neighborhood structures, as seen in my co-authored paper in Bioinformatics.
Identifying multiscale structure in complex systems is crucial in building an understanding of agential, controlled behavior across organic and synthetic forms of life. Working toward a senior thesis, I implemented the mathematical frameworks proposed in Erik Hoel's Causal Emergence 2.0.
What does Smith et al.'s aperiodic hat tiling afford to a deterministic walker?
From my longtime passion for Star Trek... pre-AI