Distributions for Compositionally Differentiating Parametric Discontinuities

Distributions for Compositionally Differentiating Parametric Discontinuities

Computations 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 as PyTorch and JAX, ignore discontinuities du...

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מידע ביבליוגרפי
Main Authors: Michel, Jesse, Mu, Kevin, Yang, Xuanda, Bangaru, Sai Praveen, Collins, Elias Rojas, Bernstein, Gilbert, Ragan-Kelley, Jonathan, Carbin, Michael, Li, Tzu-Mao
מחברים אחרים: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
פורמט: Article
שפה:English
יצא לאור: Association for Computing Machinery 2024
גישה מקוונת:https://hdl.handle.net/1721.1/154393

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