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- research-articleApril 2024
Distributions for Compositionally Differentiating Parametric Discontinuities
- Jesse Michel,
- Kevin Mu,
- Xuanda Yang,
- Sai Praveen Bangaru,
- Elias Rojas Collins,
- Gilbert Bernstein,
- Jonathan Ragan-Kelley,
- Michael Carbin,
- Tzu-Mao Li
Proceedings of the ACM on Programming Languages (PACMPL), Volume 8, Issue OOPSLA1Article No.: 126, Pages 893–922https://doi.org/10.1145/3649843Computations in physical simulation, computer graphics, and probabilistic inference often require the differentiation of discontinuous processes due to contact, occlusion, and changes at a point in time. Popular differentiable programming languages, such ...
- research-articleJuly 2021
Systematically differentiating parametric discontinuities
ACM Transactions on Graphics (TOG), Volume 40, Issue 4Article No.: 107, Pages 1–18https://doi.org/10.1145/3450626.3459775Emerging research in computer graphics, inverse problems, and machine learning requires us to differentiate and optimize parametric discontinuities. These discontinuities appear in object boundaries, occlusion, contact, and sudden change over time. In ...