Kalliopi Basioti

Training Neural Networks for Likelihood/Density Ratio Estimation pdf

George V. Moustakides, Kalliopi Basioti, G. Moustakides, 2019, ArXiv.

Kernel-Based Training of Generative Networks pdf

George V. Moustakides, Kalliopi Basioti, Emmanouil Z. Psarakis, 2018, ArXiv.

Image De-Quantization Using Generative Models as Priors pdf

Kalliopi Basioti, George V. Moustakides, 2020, ArXiv.

Maximal Correlation: An Alternative Criterion for Training Generative Networks

Kalliopi Basioti, Emmanouil Z. Psarakis, George V. Moustakides, 2020, ECAI.

Image Restoration from Parametric Transformations using Generative Models pdf

Kalliopi Basioti, George V. Moustakides, 2020, ArXiv.

Adaptive Blind Separation of Two Dependent Sources

Kalliopi Basioti, Feeby Salib, George V. Moustakides, 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Designing GANs: A Likelihood Ratio Approach pdf

Kalliopi Basioti, George V. Moustakides, 2020, ArXiv.

Optimizing Shallow Networks for Binary Classification pdf

Kalliopi Basioti, George V. Moustakides, 2019, ArXiv.

Generative Adversarial Networks: A Likelihood Ratio Approach

George V. Moustakides, Kalliopi Basioti, G. Moustakides, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).