Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Topological mixture estimation
Authors: Steve Huntsman
ICML 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We present two phenomenologically illustrative examples. First, in Figures 6 and 7 we consider the n = 272 waiting times between eruptions of the Old Faithful geyser from the data set in (H ardle, 2012). Then, in Figures 8 and 9 we consider the n = 2107 Sloan Digitial Sky Survey g r color indices accessed from the Vizie R database (Ochsen- bein et al., 2000) at http://cdsarc.u-strasbg. fr/viz-bin/Cat?J/Ap J/700/523 and discussed in (An et al., 2009); the latter example is replicated in (BAE Systems, 2018). |
| Researcher Affiliation | Industry | BAE Systems FAST Labs, Arlington, VA, USA. Correspondence to: Steve Huntsman <EMAIL> |
| Pseudocode | Yes | Algorithm 1 Topological Mixture Estimation (TME) [...] Algorithm 2 Topological Density Estimation (TDE) [...] Algorithm 3 Reblurred Topological Mixture Estimation |
| Open Source Code | Yes | BAE Systems. Topological density estimation. https: //git.io/vy C4l, 2017. [...] BAE Systems. Topological mixture estimation. https: //git.io/v AJck, 2018. |
| Open Datasets | Yes | waiting times between eruptions of the Old Faithful geyser from the data set in (H ardle, 2012). [...] Sloan Digitial Sky Survey g r color indices accessed from the Vizie R database (Ochsenbein et al., 2000) at http://cdsarc.u-strasbg. fr/viz-bin/Cat?J/Ap J/700/523 and discussed in (An et al., 2009) |
| Dataset Splits | No | The paper does not explicitly mention training/validation/test splits with percentages, counts, or specific methodologies like k-fold cross-validation for its own experiments. |
| Hardware Specification | No | The paper does not provide specific hardware details such as GPU models, CPU models, or memory configurations used for running experiments. |
| Software Dependencies | No | The paper mentions 'MATLAB implementation' but does not specify a version number or other key software dependencies with their versions. |
| Experiment Setup | No | The paper describes the algorithms and their application to examples, but does not provide specific experimental setup details such as hyperparameter values, optimization settings, or other configuration specifics. |