JSTOR Daily

EKELAND'S VARIATIONAL PRINCIPLE FOR SET-VALUED MAP SWITH APPLICATIONS TO VECTOR OPTIMIZATION IN UNIFORM SPACES

Abstract In this paper, we introduce the concept of a weak q-distance and for this distance we derive a set-valued version of Ekeland's variational principle in the setting of uniform spaces. By using ...
Visual Studio Magazine

Generating Synthetic Data Using a Variational Autoencoder with PyTorch

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...
Nature

Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent With Autoencoder Neural Network: An Application to Geologic Carbon Sequestration

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
JSTOR Daily

Application of an Ultra Weak Variational Formulation of Elliptic PDES to the Two-Dimensional Helmholtz Problem

A new technique to solve elliptic linear PDEs, called ultra weak variational formulation (UWVF) in this paper, is introduced in [B. Després, C. R. Acad. Sci. Paris, 318 (1994), pp. 939-944]. This ...
Concordia University

Master Thesis Defense - March 25, 2015: Variational Learning for Finite Inverted Dirichlet Mixture Models and Its Applications

You are invited to attend the following M.A.Sc. (Information Systems Security) thesis examination. Clustering is an important step in data mining, machine learning, computer vision and image ...