Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes
Authors: E. Busra Celikkaya, Christian Shelton
ICML 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We implemented our method, TTOP (Tree of Time Ordered Products), as part of the CTBN-RLE code base (Shelton et al., 2010), and it will be included in the next version. We evaluated our method on a synthetic network of Ising model dynamics. |
| Researcher Affiliation | Academia | E. Busra Celikkaya CELIKKAE@CS.UCR.EDU University of California, Riverside Christian R. Shelton CSHELTON@CS.UCR.EDU University of California, Riverside |
| Pseudocode | Yes | Algorithm 1 TTOP Filter |
| Open Source Code | No | We implemented our method, TTOP (Tree of Time Ordered Products), as part of the CTBN-RLE code base (Shelton et al., 2010), and it will be included in the next version. |
| Open Datasets | No | We evaluated our method on a synthetic network of Ising model dynamics. The Ising model was chosen so that we could compute the true answer in a reasonable time and scale the problem size. Using this model, we generated a directed toroid network structure with cycles following (El-Hay et al., 2010). |
| Dataset Splits | No | The paper uses a synthetic network and does not specify explicit training, validation, or test dataset splits. |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models or types) used for running experiments were mentioned. |
| Software Dependencies | No | The paper mentions implementing the method as part of the 'CTBN-RLE code base' but does not list specific software dependencies with version numbers. |
| Experiment Setup | Yes | For TTOP, we set the number of splits for the quadrature (see Equation 5) to 10 because it produces a good computation time versus error performance. ... For Aux Gibbs, we vary the sample size between 50 and 5000, and set the burn-in period to be 10% of this value. For IS, the sample size varies between 500 to 50000. |