Results 241 to 250 of about 11,879,845 (280)

Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning. [PDF]

open access: yesNat Commun
Zhu S   +7 more
europepmc   +1 more source

Gross-Pitaevskii systems of fractional order with respect to multicomponent solitary wave dynamics. [PDF]

open access: yesSci Rep
Bilal M   +6 more
europepmc   +1 more source

Differentiable signed distance function rendering

ACM Transactions on Graphics, 2022
Physically-based differentiable rendering has recently emerged as an attractive new technique for solving inverse problems that recover complete 3D scene representations from images.
Delio Vicini   +2 more
semanticscholar   +1 more source

DFR: Differentiable Function Rendering for Learning 3D Generation from Images

Computer graphics forum (Print), 2020
Learning‐based 3D generation is a popular research field in computer graphics. Recently, some works adapted implicit function defined by a neural network to represent 3D objects and have become the current state‐of‐the‐art.
Yunjie Wu, Zhengxing Sun
semanticscholar   +1 more source

Differentiable functions

Boletim da Sociedade Brasileira de Matemática, 1980
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Differentiation of Functions

2016
We can now begin the rigorous treatment of calculus in earnest, starting with the notion of a derivative. We can now define derivatives analytically, using limits, in contrast to the geometric definition of derivatives, which uses tangents. The advantage of working analytically is that (a) we do not need to know the axioms of geometry, and (b) these ...
openaire   +2 more sources

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