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AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Rediscovering orbital mechanics with machine learning., , , , and . Mach. Learn. Sci. Technol., 4 (4): 45002 (December 2023)Lagrangian Neural Networks., , , , , and . CoRR, (2020)Unsupervised Resource Allocation with Graph Neural Networks., , and . Preregister@NeurIPS, volume 148 of Proceedings of Machine Learning Research, page 272-284. PMLR, (2020)Discovering Symbolic Models from Deep Learning with Inductive Biases., , , , , , and . NeurIPS, (2020)xVal: A Continuous Number Encoding for Large Language Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy., , , , , , , , , and 4 other author(s). CoRR, (2017)The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback., , , , , , , , , and 1 other author(s). CoRR, (2022)Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks., , , , , , , and . CoRR, (2022)Unsupervised Resource Allocation with Graph Neural Networks., , and . CoRR, (2021)