Konstantinos P. Panousis

According to our database, Konstantinos P. Panousis authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hierarchical Concept Discovery Models: A Concept Pyramid Scheme.

Konstantinos P. Panousis, Dino Ienco, Diego Marcos

CoRR, 2023

DISCOVER: Making Vision Networks Interpretable via Competition and Dissection.

Konstantinos P. Panousis, Sotirios Chatzis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Sparse Linear Concept Discovery Models.

Konstantinos P. Panousis, Dino Ienco, Diego Marcos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Deep Learning Approach for Dynamic Balance Sheet Stress Testing.

Anastasios Petropoulos, Vasilis Siakoulis, Konstantinos P. Panousis, Loukas Papadoulas, Sotirios Chatzis

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations.

Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness.

Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis

CoRR, 2021

Dialog Speech Sentiment Classification for Imbalanced Datasets.

Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis

Proceedings of the Speech and Computer - 23rd International Conference, 2021

Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition.

Konstantinos P. Panousis, Soritios Chatzis, Sergios Theodoridis

Proceedings of the Advances in Visual Computing - 16th International Symposium, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning.

Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Non-parametric Bayesian approaches to deep neural networks

Konstantinos P. Panousis

PhD thesis, 2020

Local Competition and Uncertainty for Adversarial Robustness in Deep Learning.

Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis

CoRR, 2020

Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition.

Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis

CoRR, 2020

2019

Nonparametric Bayesian Deep Networks with Local Competition.

Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis

Proceedings of the 36th International Conference on Machine Learning, 2019