I'm a computer science student at TU Darmstadt working on machine learning research. My work is scattered across different areas, but most connect directly to deep learning. My work focused on optimization dynamics, interpretability and simulation of neurons.
I list my work on axym.org:
- AxoSim and AxoBench — neural simulation [2026]
- Improved Elastic Weight Consolidation — continual learning [2026]
- Kernelized Parameter Sensitivity Atlases — interpretability [2026]
- Temporal Regularized Learning — local learning [2026]
- The Recursive Manifold Hypothesis — data geometry [2026]
- pptrain — task-agnostic learning [2026]
- Marey — scientific visualization [2026]
Reach me at: davide.wiest2 [at] gmail [dot] com