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Fast Kernel Summation in High Dimensions via Slicing and Fourier
  Transforms

Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms

16 January 2024
Johannes Hertrich
ArXivPDFHTML

Papers citing "Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms"

7 / 7 papers shown
Title
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Youwei Yu
Lantao Liu
29
0
0
11 Apr 2025
Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows
Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows
Nicolaj Rux
Michael Quellmalz
Gabriele Steidl
22
0
0
10 Apr 2025
Generative Feature Training of Thin 2-Layer Networks
Generative Feature Training of Thin 2-Layer Networks
J. Hertrich
Sebastian Neumayer
GAN
42
1
0
11 Nov 2024
Fast Summation of Radial Kernels via QMC Slicing
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich
Tim Jahn
Michael Quellmalz
18
5
0
02 Oct 2024
Posterior Sampling Based on Gradient Flows of the MMD with Negative
  Distance Kernel
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
Paul Hagemann
J. Hertrich
Fabian Altekrüger
Robert Beinert
Jannis Chemseddine
Gabriele Steidl
16
23
0
04 Oct 2023
Generative Sliced MMD Flows with Riesz Kernels
Generative Sliced MMD Flows with Riesz Kernels
J. Hertrich
Christian Wald
Fabian Altekrüger
Paul Hagemann
23
23
0
19 May 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein
  Flows
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
Chao Du
Tianbo Li
Tianyu Pang
Shuicheng Yan
Min-Bin Lin
DiffM
BDL
38
12
0
03 May 2023
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