Results 41 to 50 of about 4,469 (193)
Detecting changes in forced climate attractors with Wasserstein distance [PDF]
Nonlinear Processes in Geophysics, 2017 The climate system can been described by a dynamical system and its associated attractor. The dynamics of this attractor depends on the external forcings that influence the climate.
Y. Robin, P. Yiou, P. Naveau
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Generating Adversarial Samples With Constrained Wasserstein Distance
IEEE Access, 2019 In recent years, deep neural network (DNN) approaches prove to be useful in many machine learning tasks, including classification. However, small perturbations that are carefully crafted by attackers can lead to the misclassification of the images ...
Kedi Wang, Ping Yi, Futai Zou, Yue Wu
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Lidar Upsampling With Sliced Wasserstein Distance
IEEE Robotics and Automation Letters, 2023 Lidar became an important component of the perception systems in autonomous driving. But challenges of training data acquisition and annotation made emphasized the role of the sensor to sensor domain adaptation. In this work, we address the problem of lidar upsampling.
Artem Savkin +4 more
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The Wasserstein distance to the circular law
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2023 We investigate the Wasserstein distance between the empirical spectral distribution of non-Hermitian random matrices and the Circular Law. For general entry distributions, we obtain a nearly optimal rate of convergence in 1-Wasserstein distance of order $n^{-1/2+ε}$ and we prove that the optimal rate $n^{-1/2}$ is attained by Ginibre matrices.
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Fast Topological Clustering with Wasserstein Distance
CoRR, 2021 The topological patterns exhibited by many real-world networks motivate the development of topology-based methods for assessing the similarity of networks. However, extracting topological structure is difficult, especially for large and dense networks whose node degrees range over multiple orders of magnitude.
Tananun Songdechakraiwut +4 more
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Scalar conservation laws seen as gradient flows: known results and new perspectives
ESAIM: Proceedings and Surveys, 2016 We review some results in the literature which attempted (only partly successfully) at linking the theory of scalar conservation laws with the Wasserstein gradient flow theory.
Di Francesco Marco
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MRWM: A Multiple Residual Wasserstein Driven Model for Image Denoising
IEEE Access, 2022 Residual histograms can provide valuable information for vision research. However, current image restoration methods have not fully exploited the potential of multiple residual histograms, especially their role as overall regularization constraints.
Rui-Qiang He, Wang-Sen Lan, Fang Liu
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Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Towards Inverse Modeling of Landscapes Using the Wasserstein Distance
Geophysical Research Letters, 2023 Extricating histories of uplift and erosion from landscapes is crucial for many branches of the Earth sciences. An objective way to calculate such histories is to identify calibrated models that minimize misfit between observations (e.g., topography) and
M. J. Morris, A. G. Lipp, G. G. Roberts
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Orthogonal Estimation of Wasserstein Distances
CoRR, 2019 Published at AISTATS ...
Mark Rowland 0001 +5 more
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