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.
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