Nonparametric Bayesian Deep Networks with Local Competition. - Konstantinos P. Panousis; Sotirios Chatzis; Sergios Theodoridis (ICML, 2019)

Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition. - Konstantinos P. Panousis; Sotirios Chatzis; Sergios Theodoridis (CoRR, 2020)

Local Competition and Uncertainty for Adversarial Robustness in Deep Learning. - Antonios Alexos; Konstantinos P. Panousis; Sotirios Chatzis (CoRR, 2020)

Non-parametric Bayesian approaches to deep neural networks - Konstantinos P. Panousis (2020)

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. - Konstantinos P. Panousis; Sotirios Chatzis; Antonios Alexos; Sergios Theodoridis (AISTATS, 2021)

Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. - Andreas Voskou; Konstantinos P. Panousis; Dimitrios I. Kosmopoulos; Dimitris N. Metaxas; Sotirios Chatzis (ICCV, 2021)

Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition. - Konstantinos P. Panousis; Soritios Chatzis; Sergios Theodoridis (ISVC (2), 2021)

Dialog Speech Sentiment Classification for Imbalanced Datasets. - Sergis Nicolaou; Lambros Mavrides; Georgina Tryfou; Kyriakos Tolias; Konstantinos P. Panousis; Sotirios Chatzis; Sergios Theodoridis (SPECOM, 2021)

Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. - Konstantinos P. Panousis; Sotirios Chatzis; Sergios Theodoridis (CoRR, 2021)

Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations. - Konstantinos P. Panousis; Anastasios Antoniadis; Sotirios Chatzis (AAAI, 2022)

A Deep Learning Approach for Dynamic Balance Sheet Stress Testing. - Anastasios Petropoulos; Vasilis Siakoulis; Konstantinos P. Panousis; Loukas Papadoulas; Sotirios Chatzis (ICAIF, 2022)

Sparse Linear Concept Discovery Models. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (ICCV (Workshops), 2023)

A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset. - Andreas Voskou; Konstantinos P. Panousis; Harris Partaourides; Kyriakos Tolias; Sotirios Chatzis (ICCV (Workshops), 2023)

DISCOVER: Making Vision Networks Interpretable via Competition and Dissection. - Konstantinos P. Panousis; Sotirios Chatzis (NeurIPS, 2023)

Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (CoRR, 2023)

Coarse-to-Fine Concept Bottleneck Models. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (NeurIPS, 2024)

Fully automatic extraction of morphological traits from the Web: utopia or reality? - Diego Marcos; Robert van de Vlasakker; Ioannis N. Athanasiadis; Pierre Bonnet; Hervé Goëau; Alexis Joly; W. Daniel Kissling; César Leblanc; André S. J. van Proosdij; Konstantinos P. Panousis (CoRR, 2024)