| 2018 | ICASSP | Indian Buffet Process Deep Generative Models for Semi-Supervised Classification. | Sotirios P. Chatzis |
| 2018 | INISTA | A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data. | Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou |
| 2017 | ICASSP | Recurrent latent variable conditional heteroscedasticity. | Sotirios P. Chatzis |
| 2017 | PAKDD | Deep Bayesian Matrix Factorization. | Sotirios P. Chatzis |
| 2017 | PAKDD | Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. | Harris Partaourides, Sotirios P. Chatzis |
| 2017 | RecSys | Recurrent Latent Variable Networks for Session-Based Recommendation. | Sotirios P. Chatzis, Panayiotis Christodoulou, Andreas S. Andreou |
| 2015 | CIKM | Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases. | Sotirios P. Chatzis |
| 2015 | ICCV | A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis. | Sotirios P. Chatzis, Dimitrios I. Kosmopoulos |
| 2014 | ICANN | A Non-stationary Infinite Partially-Observable Markov Decision Process. | Sotirios P. Chatzis, Dimitrios I. Kosmopoulos |
| 2014 | ISVC | A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies. | Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, George M. Papadourakis |
| 2011 | ICTAI | The One-Hidden Layer Non-parametric Bayesian Kernel Machine. | Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris |
| 2009 | ICCV | The infinite Hidden Markov random field model. | Sotirios P. Chatzis, Gabriel Tsechpenakis |