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Konstantinos P. Panousis
Konstantinos P. Panousis
PostDoctoral Researcher, Inria
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
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
552021
Nonparametric Bayesian Deep Networks with Local Competition
KP Panousis, S Chatzis, S Theodoridis
36th International Conference on Machine Learning 97, 4980-4988, 2019
452019
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
202021
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
KP Panousis, S Chatzis, S Theodoridis
NIPS Bayesian Deep Learning Workshop, 2021
162021
Sparse Linear Concept Discovery Models
KP Panousis, D Ienco, D Marcos
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
132023
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
92022
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations
KP Panousis, A Antoniadis, S Chatzis
AAAI, 2022
72022
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
52023
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
42023
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
12023
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
12021
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
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Articles 1–17