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FFT, FMM, or Multigrid? A comparative Study of State-Of-the-Art Poisson Solvers for Uniform and Nonuniform Grids in the Unit Cube., , , and . SIAM J. Sci. Comput., (2016)Adaptive Self-supervision Algorithms for Physics-informed Neural Networks., , , and . CoRR, (2022)Inefficiency of K-FAC for Large Batch Size Training., , , , , , and . AAAI, page 5053-5060. AAAI Press, (2020)A Fast Post-Training Pruning Framework for Transformers., , , , , and . NeurIPS, (2022)Hessian-based Analysis of Large Batch Training and Robustness to Adversaries., , , , and . NeurIPS, page 4954-4964. (2018)A framework for scalable biophysics-based image analysis., , , , , and . SC, page 19. ACM, (2017)I-BERT: Integer-only BERT Quantization., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5506-5518. PMLR, (2021)Integrated Model, Batch, and Domain Parallelism in Training Neural Networks., , , , and . SPAA, page 77-86. ACM, (2018)Characterizing Prompt Compression Methods for Long Context Inference., , , , and . CoRR, (2024)LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement., , , , , , , , and . ACL (Findings), page 6498-6526. Association for Computational Linguistics, (2024)