8 citations · 12 across the 4 of their papers we have counts for
5 papers
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis
This work attempts to address adversarial robustness of deep networks by means of novel learning arguments. Specifically, inspired from results in neuroscience, we propose a local…
A Self-Attentive Emotion Recognition Network
Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis +2
Modern deep learning approaches have achieved groundbreaking performance in modeling and classifying sequential data. Specifically, attention networks constitute the state-of-the-a…
Recurrent Latent Variable Networks for Session-Based Recommendation
Sotirios Chatzis, Panayiotis Christodoulou, Andreas S. Andreou
In this work, we attempt to ameliorate the impact of data sparsity in the context of session-based recommendation. Specifically, we seek to devise a machine learning mechanism capa…
Mixture Gaussian Process Conditional Heteroscedasticity
Emmanouil A. Platanios, Sotirios P. Chatzis
Generalized autoregressive conditional heteroscedasticity (GARCH) models have long been considered as one of the most successful families of approaches for volatility modeling in f…
The Kernel Pitman-Yor Process
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
In this work, we propose the kernel Pitman-Yor process (KPYP) for nonparametric clustering of data with general spatial or temporal interdependencies. The KPYP is constructed by fi…