Neural Caches for Monte Carlo Partial Differential Equation Solvers

Author:

Li Zilu1ORCID,Yang Guandao2ORCID,Deng Xi1ORCID,De Sa Christopher1ORCID,Hariharan Bharath1ORCID,Marschner Steve1ORCID

Affiliation:

1. Cornell University, United States of America

2. Computer Science, Cornell University, United States of America and Computer Science, Stanford University, USA

Publisher

ACM

Reference69 articles.

1. Ghada Bakbouk and Pieter Peers. 2023. Mean Value Caching for Walk on Spheres. (2023).

2. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

3. Generative neural articulated radiance fields;Bergman Alexander;Advances in Neural Information Processing Systems,2022

4. James Bradbury Roy Frostig Peter Hawkins Matthew James Johnson Chris Leary Dougal Maclaurin George Necula Adam Paszke Jake VanderPlas Skye Wanderman-Milne and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. http://github.com/google/jax

5. Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, and Bharath Hariharan. 2020. Learning gradient fields for shape generation. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16. Springer, 364–381.

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