Most Probable Paths for Anisotropic Brownian Motions on Manifolds.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 313, doi. 10.1007/s10208-022-09594-4
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Works matching IS 16153375 AND DT 2024 AND VI 24 AND IP 1
Results: 7
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Efficient Computation of the Zeros of the Bargmann Transform Under Additive White Noise.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 279, doi. 10.1007/s10208-022-09593-5
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- Article
3
An Atlas for the Pinhole Camera.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 227, doi. 10.1007/s10208-022-09592-6
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Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 179, doi. 10.1007/s10208-022-09591-7
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5
Functional Equivariance and Conservation Laws in Numerical Integration.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 149, doi. 10.1007/s10208-022-09590-8
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6
The Bubble Transform and the de Rham Complex.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 99, doi. 10.1007/s10208-022-09589-1
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7
Adversarial Manifold Estimation.
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- Foundations of Computational Mathematics, 2024, v. 24, n. 1, p. 1, doi. 10.1007/s10208-022-09588-2
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- Article