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Measuring and regularizing networks in function space., , and . CoRR, (2018)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)Bugs in the Data: How ImageNet Misrepresents Biodiversity., and . AAAI, page 14382-14390. AAAI Press, (2023)Hard-Constrained Deep Learning for Climate Downscaling., , , , , , , and . J. Mach. Learn. Res., (2023)Deep Learning is Robust to Massive Label Noise, , , and . (2017)cite arxiv:1705.10694.The power of deeper networks for expressing natural functions., and . ICLR (Poster), OpenReview.net, (2018)ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models., , , , and . NeurIPS Datasets and Benchmarks, (2021)How to Start Training: The Effect of Initialization and Architecture., and . NeurIPS, page 569-579. (2018)Reverse-engineering deep ReLU networks., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8178-8187. PMLR, (2020)FAENet: Frame Averaging Equivariant GNN for Materials Modeling., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 9013-9033. PMLR, (2023)