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Data Science and Machine Learning in Education., , , , , , , , , and 13 other author(s). CoRR, (2022)A detailed study of interpretability of deep neural network based top taggers., , and . Mach. Learn. Sci. Technol., 4 (3): 35003 (September 2023)Robust Learning of Physics Informed Neural Networks., , , and . CoRR, (2021)Explainable AI for High Energy Physics., and . CoRR, (2022)A Detailed Study of Interpretability of Deep Neural Network based Top Taggers., , and . CoRR, (2022)FAIR AI models in high energy physics., , , , , , , , , and 7 other author(s). Mach. Learn. Sci. Technol., 4 (4): 45062 (December 2023)Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning., , and . CoRR, (2021)FAIR AI Models in High Energy Physics., , , , , , , , , and 7 other author(s). CoRR, (2022)FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective., , , , , , , , , and 14 other author(s). CoRR, (2022)FAIR Principles for data and AI models in high energy physics research and education. (2022)cite arxiv:2211.15021Comment: Contribution to the Proceedings of 41st International Conference on High Energy Physics - ICHEP2022, Presented on behalf of the FAIR4HEP collaboration.