Papers

Simulation Intelligence Towards a New Generation of Scientific Methods

A Lavin, D Krakauer, H Zenil, J Gottschlich… - arXiv preprint arXiv …, 2021 - arxiv.org
Computer Science paper cs.AI Suggest

… from basis functions without using the likelihood function is a form of Gaussian process with likelihood-free inference, which is the regime of problems that simulation-based inference is …

Cited by Link to paper

BibTeX

@misc{lavin2022simulationintelligencenewgeneration,
      title={Simulation Intelligence Towards a New Generation of Scientific Methods}, 
      author={Alexander Lavin and David Krakauer and Hector Zenil and Justin Gottschlich and Tim Mattson and Johann Brehmer and Anima Anandkumar and Sanjay Choudry and Kamil Rocki and Atılım Güneş Baydin and Carina Prunkl and Brooks Paige and Olexandr Isayev and Erik Peterson and Peter L. McMahon and Jakob Macke and Kyle Cranmer and Jiaxin Zhang and Haruko Wainwright and Adi Hanuka and Manuela Veloso and Samuel Assefa and Stephan Zheng and Avi Pfeffer},
      year={2022},
      eprint={2112.03235},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https//arxiv.org/abs/2112.03235}, 
}

Share