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..
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target
Authors: Zitong Zhang, Yang Liu, Hao Sun
IJCAI 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | The efficacy of our method has been demonstrated through multiple sets of synthetic videos considering different nonlinear dynamics. Results from extensive experiments demonstrate the efficacy of the proposed method. |
| Researcher Affiliation | Academia | 1Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China 2School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China |
| Pseudocode | No | The paper describes the methodology in prose and mathematical formulations but does not include any explicitly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide a direct link to source code for the described methodology or state that it is publicly available in a repository or supplementary material. |
| Open Datasets | Yes | The datasets are derived from instances introduced in [Gilpin, 2021], where we utilize the following examples: Lorenz, Sprott E, Rayleigh Benard, Sprott F, Nose Hoover, Tsucs2 and Wang Sun. |
| Dataset Splits | No | The paper describes data generation and training processes, but it does not explicitly specify exact percentages or sample counts for training, validation, and test dataset splits. |
| Hardware Specification | Yes | All simulations in this study are conducted on an Intel Core i9-13900 CPU workstation with an NVIDIA Ge Force RTX 4090 GPU. |
| Software Dependencies | No | The paper mentions 'Py Torch', 'MATLAB', and 'YOLO-v8' as software used but does not provide specific version numbers for any of them. |
| Experiment Setup | No | The paper describes the network training process and loss function but does not explicitly provide specific hyperparameter values or detailed system-level training settings. |