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..
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Authors: Naoya Takeishi, Alexandros Kalousis
NeurIPS 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We performed experiments on two synthetic datasets and two real-world datasets, for which we prepared instances of physics-integrated VAEs. |
| Researcher Affiliation | Academia | University of Applied Sciences and Arts Western Switzerland (HES-SO) Geneva, Switzerland |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to its source code, nor does it explicitly state that the code for their methodology is available. |
| Open Datasets | Yes | We used images of galaxy of the Galaxy10 dataset [18]. |
| Dataset Splits | Yes | We generated 2,500 sequences of length τ = 50 with t = 0.05 and separated them into a training, validation, and test sets with 1,000, 500, and 1,000 sequences, respectively. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | Yes | In the experiment with the advection-diffusion dataset reported in Table 1, the selected values of the hyperparameters were α = 0.1, β = 0.01, and γ = 10^6, which were chosen from only eight candidates (see Appendix E for detail). |