Funding Acknowledgments and Disclosure in Machine Learning Research

In this article, we provide a detailed account of the funding sources that supported our research work. We acknowledge the financial support from various organizations, including the AI Interdisciplinary Institute (ANITI), the Association Nationale de la Recherche et de la Technologie (ANRT), and Thales LAS France. We also thank the individuals who contributed to our grant, such as Jérôme Bolte and Edouard Pauwels, for their helpful advice and suggestions.
To help readers understand the significance of these funding sources, we use analogies to explain their role in the research process. For instance, we compare the ANITI funding to a "grant runner" who provides the necessary fuel for our research engine, enabling us to complete our project. Similarly, we liken the ANRT support to a "quality control inspector" who ensures that our work meets the highest standards of excellence.
We also provide a detailed table outlining the experimental setup for each experiment, including the dataset used, the neural network architecture, the optimizer employed, the batch size, the number of epochs, and the average computation time per epoch. This information is essential for readers to appreciate the complexity of our research work and the various factors that influenced its outcome.
Overall, this article serves as a beacon of transparency in academic publishing, demonstrating our commitment to acknowledging and disclosing all sources of funding that contribute to our research. By providing a comprehensive account of these funding sources, we hope to foster greater trust in the scientific community and promote ethical research practices.