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Research questionHow can local loss-landscape geometry reveal algorithmic structure in learned Turing-machine computations?A learned machine’s algorithm may not be obvious from its behavior or parameters alone. Local geometry of the learning objective may provide indirect signatures of the computation being implemented.
AI
Machine Learning
Mechanistic Interpretability
Research Paper
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Interpretability for Turing MachinesThe source theoretically links algorithmic symmetries and path separation to structure in susceptibility matrices, then examines those links empirically on deterministic finite automata using dimensionality reduction and clustering. The evidence does not establish that the approach generalizes beyond the studied learning problems and analyses.research paper · Sep 4, 2026
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