concept
active
concept:transition-probability-matrix-tpmTransition Probability Matrix (TPM)
Matrix encoding Markovian micro-dynamics; foundational for EI computation.
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Papers (1)
paper
Frameworks (1)
framework
- Novel construct introduced by this paper: a hypothetical graph embedded in the time series of LLM representations, where each dimension is a node and latent connections are edges.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Prescribes transitions among hidden state factors under action; encodes policy-dependent dynamics
- Change between ordered and disordered macroscopic phases; existence depends on topology
- Modeling framework for discrete state-space decision-making under uncertainty, used as generative model in active inference.
- Binary relation (S, S, R) on a set modeling computational state transitions; point of entry to coalgebra theory.
- Model treating agents as inactive/active with random state transitions; foundational work by Bose & Banerjee.
- Framework for non-equilibrium free energies; mentioned as future direction to generalise results
- A class of random matrices with Gaussian entries used to characterize the baseline eigenvalue distribution of OV circuits at initialization, against which learned positive eigenvalue clustering is compared
- The transformer version directly analogous to TEM, introduced in this paper, offering dramatic performance improvements.