74 citations · 140 across the 34 of their papers we have counts for
4 papers · 1 filter
Processing of incomplete images by (graph) convolutional neural networks
Tomasz Danel, Marek Śmieja, Łukasz Struski +2
We investigate the problem of training neural networks from incomplete images without replacing missing values. For this purpose, we first represent an image as a graph, in which m…
Estimating conditional density of missing values using deep Gaussian mixture model
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
We consider the problem of estimating the conditional probability distribution of missing values given the observed ones. We propose an approach, which combines the flexibility of…
LocoGAN -- Locally Convolutional GAN
Łukasz Struski, Szymon Knop, Jacek Tabor +2
In the paper we construct a fully convolutional GAN model: LocoGAN, which latent space is given by noise-like images of possibly different resolutions. The learning is local, i.e.…
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints
Marek Śmieja, Łukasz Struski, Mário A. T. Figueiredo
In this paper, we introduce a neural network framework for semi-supervised clustering (SSC) with pairwise (must-link or cannot-link) constraints. In contrast to existing approaches…