- Nonparametric Bayesian Local Winner-Takes-All Networks (2019) , K. Panousis, ICML
- t-Exponential Memory Networks for Question-Answering Machines (2019), K. Tolias, IEEE TNNLS
- Deep Learning with t-Exponential Bayesian Kitchen Sinks (2018), H. Partaourides, ESWA
- Deep Bayesian Matrix Factorization (2017), PAKDD
- Asymmetric Deep Generative Models (2017), H. Partaourides, NEUCOM
- A Latent Manifold Markovian Dynamics Gaussian Process (2015), D. Kosmopoulos, IEEE TNNLS
- A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis (2015), D. Kosmopoulos, ICCV
- Inducing space Dirichlet process mixture large-margin entity relationship inference in knowledge bases (2015), ACM CIKM
- Sparse Bayesian Recurrent Neural Networks (2015), ECML/PKDD
- Gaussian Process-Mixture Conditional Heteroscedasticity (2014), E. Platanios, IEEE TPAMI
Sotirios Chatzis
Publications
PROJECTS
- DEEPSTRESS, 2019-2021, CY RPF, Project Coordinator
- DEEPSIGNNET, 2019-2021, CY RPF, Project Coord.
- INCOGNITO, 2019-2023, H2020, WP leader
- aiD, 2019-2023, H2020, Project Coordinator
