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Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC.

, , , , , и . CoRR, (2017)

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Ulrich Paganini

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Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC., , , , , и . CoRR, (2017)Prune Responsibly.. CoRR, (2020)Unified Scaling Laws for Routed Language Models., , , , , , , , , и 16 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 4057-4086. PMLR, (2022)Preface., , , , и . Preregister@NeurIPS, том 148 из Proceedings of Machine Learning Research, стр. i. PMLR, (2020)The Scientific Method in the Science of Machine Learning., и . CoRR, (2019)Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis., , и . Comput. Softw. Big Sci., (ноября 2017)Streamlining Tensor and Network Pruning in PyTorch., и . CoRR, (2020)Improving language models by retrieving from trillions of tokens., , , , , , , , , и 18 other автор(ы). CoRR, (2021)Improving Language Models by Retrieving from Trillions of Tokens., , , , , , , , , и 18 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 2206-2240. PMLR, (2022)On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks., и . CoRR, (2020)