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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks, and . (2018)cite arxiv:1803.03635Comment: ICLR camera ready.Linear Mode Connectivity and the Lottery Ticket Hypothesis, , , and . (2019)cite arxiv:1912.05671Comment: This submission subsumes 1903.01611 ("Stabilizing the Lottery Ticket Hypothesis" and "The Lottery Ticket Hypothesis at Scale").The T-Complexity Costs of Error Correction for Control Flow in Quantum Computation., and . CoRR, (2023)Programming and Reasoning with Partial Observability., and . CoRR, (2021)Verifying Performance Properties of Probabilistic Inference., , , , and . CoRR, (2023)Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs., , and . CoRR, (2023)Overparameterization: A Connection Between Software 1.0 and Software 2.0.. SNAPL, volume 136 of LIPIcs, page 1:1-1:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)On the Predictability of Pruning Across Scales., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9075-9083. PMLR, (2021)Pruning Neural Networks at Initialization: Why are We Missing the Mark?, , , and . CoRR, (2020)BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models., , , , , , , and . IISWC, page 167-177. IEEE, (2019)