Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation A Voskou, KP Panousis, D Kosmopoulos, DN Metaxas, S Chatzis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |
Nonparametric Bayesian Deep Networks with Local Competition KP Panousis, S Chatzis, S Theodoridis 36th International Conference on Machine Learning 97, 4980-4988, 2019 | 45 | 2019 |
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning KP Panousis, S Chatzis, A Alexos, S Theodoridis Artificial Intelligence and Statistics (AISTATS) 2021, 2021 | 20 | 2021 |
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness KP Panousis, S Chatzis, S Theodoridis NIPS Bayesian Deep Learning Workshop, 2021 | 16 | 2021 |
Sparse Linear Concept Discovery Models KP Panousis, D Ienco, D Marcos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
A Deep Learning Approach for Dynamic Balance Sheet Stress Testing A Petropoulos, V Siakoulis, KP Panousis, L Papadoulas, S Chatzis 3rd ACM International Conference on AI in Finance / ICAIF'22, 2022 | 9 | 2022 |
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations KP Panousis, A Antoniadis, S Chatzis AAAI, 2022 | 7 | 2022 |
Coarse-to-Fine Concept Bottleneck Models KP Panousis, D Ienco, D Marcos Advances in Neural Information Processing Systems, 2024, 2024 | 5* | 2024 |
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset A Voskou, KP Panousis, H Partaourides, K Tolias, S Chatzis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
Variational Conditional-Dependence Hidden Markov Models for Skeleton-Based Action Recognition KP Panousis, S Chatzis, S Theodoridis International Symposium on Visual Computing (ISVC), 2021 | 5* | 2021 |
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection KP Panousis, S Chatzis Advances in Neural Information Processing Systems, 2023, 2023 | 4 | 2023 |
Macroeconomic forecasting and sovereign risk assessment using deep learning techniques A Petropoulos, V Siakoulis, KP Panousis, L Papadoulas, S Chatzis arXiv preprint arXiv:2301.09856, 2023 | 1 | 2023 |
Dialog speech sentiment classification for imbalanced datasets S Nicolaou, L Mavrides, G Tryfou, K Tolias, K Panousis, S Chatzis, ... Speech and Computer: 23rd International Conference, SPECOM 2021, St …, 2021 | 1 | 2021 |
Fully automatic extraction of morphological traits from the Web: utopia or reality? D Marcos, R van de Vlasakker, IN Athanasiadis, P Bonnet, H Goeau, ... arXiv preprint arXiv:2409.17179, 2024 | | 2024 |
Non-parametric Bayesian approaches to deep neural networks KP Panousis National and Kapodistrian University of Athens, Greece, 2020 | | 2020 |
Real-time planning and learning in the "Settlers of Catan" strategy game KP Panousis https://dias.library.tuc.gr/view/manf/18114, 2014 | | 2014 |
Supplemental Material: Sparse Linear Concept Discovery Models KP Panousis, D Ienco, D Marcos | | |