Results 181 to 190 of about 24,182 (212)

Distributionally Robust Games: Wasserstein Metric

2018 International Joint Conference on Neural Networks (IJCNN), 2018
Deep generative models are powerful but difficult to train due to its instability, saturation problem and high dimensional data distribution. This paper introduces a game theory framework with Wasserstein metric to train generative models, in which the unknown data distribution is learned by dynamically optimizing the worst-case payoff.
Jian Gao, Hamidou Tembine
openaire   +1 more source

Frequency domain model validation in Wasserstein metric

2013 American Control Conference, 2013
This paper connects the time-domain uncertainty propagation approach for model validation in Wasserstein distance 2W2, introduced by the authors in [1], with the frequency domain model validation in the same. To the best of our knowledge, this is the first frequency domain interpretation of Monge-Kantorovich optimal transport.
Abhishek Halder, Raktim Bhattacharya
openaire   +1 more source

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors

2022
Optimal Transport (OT) defines geometrically meaningful "Wasserstein" distances, used in machine learning applications to compare probability distributions. However, a key bottleneck is the design of a "ground" cost which should be adapted to the task under study.
Huizing, Geert-Jan, Cantini, Laura, Peyré, Gabriel   +2 more
openaire   +1 more source

A New Interval Data Distance Based on the Wasserstein Metric

2008
Interval data allow statistical units to be described by means of interval values, whereas their representation by single values appears to be too reductive or inconsistent, that is, unable to keep the uncertainty usually inherent to the observed data. In the present paper, we present a novel distance for interval data based on the Wasserstein distance
VERDE, Rosanna, IRPINO, Antonio
openaire   +2 more sources

Wasserstein Metric Attack on Person Re-identification

2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022
Astha Verma, A. V. Subramanyam, Rajiv Ratn Shah   +2 more
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Wasserstein Metrics

2017
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly  

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein, Rene-Jean Bensadoun, Andrei Barasch   +2 more
exaly