( en | de | ru )

 

Disambiguation of "Paganini, Michela"

Author of the publication

copydeleteadd this publication to your clipboard
The Scientific Method in the Science of Machine Learning.

, and . CoRR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ulrich Paganini

Stefan Paganini

Ulrike Paganini

Lucas Paganini

Claudia Paganini

 

Other publications of authors with the same name

Preface., , , , and . Preregister@NeurIPS, volume 148 of Proceedings of Machine Learning Research, page i. PMLR, (2020)Unified Scaling Laws for Routed Language Models., , , , , , , , , and 16 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 4057-4086. PMLR, (2022)Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production.. CoRR, (2019)One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers., , , and . NeurIPS, page 4933-4943. (2019)Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis., , and . Comput. Softw. Big Sci., (November 2017)Streamlining Tensor and Network Pruning in PyTorch., and . CoRR, (2020)The Scientific Method in the Science of Machine Learning., and . CoRR, (2019)Improving language models by retrieving from trillions of tokens, , , , , , , , , and 18 other author(s). (2021)cite arxiv:2112.04426Comment: Fix incorrect reported numbers in Table 14.Improving Language Models by Retrieving from Trillions of Tokens., , , , , , , , , and 18 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)Neural Algorithmic Reasoning with Causal Regularisation., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 2272-2288. PMLR, (2023)