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Data Movement Is All You Need: A Case Study on Optimizing Transformers., , , , and . CoRR, (2020)Physics-based polynomial neural networks for one-short learning of dynamical systems from one or a few samples., , and . CoRR, (2020)Matrix Lie Maps and Neural Networks for Solving Differential Equations., and . CoRR, (2019)TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization., and . CoRR, (2023)A Data-Centric Optimization Framework for Machine Learning., , , , , and . CoRR, (2021)STen: Productive and Efficient Sparsity in PyTorch., , , , and . CoRR, (2023)Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning., , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1230-1237. IOS Press, (2020)A data-centric optimization framework for machine learning., , , , , and . ICS, page 36:1-36:13. ACM, (2022)Cached Operator Reordering: A Unified View for Fast GNN Training., , , , , , and . CoRR, (2023)VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores., , , , , and . SC, page 72:1-72:14. ACM, (2023)