Konstantinos P. Panousis

26 papers A* 5A 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clarity: The Flexibility-Interpretability Trade-Off in Sparsity-aware Concept Bottleneck Models. CoRR Konstantinos P. Panousis, Diego Marcos
2024	A*	`conf`	Coarse-to-Fine Concept Bottleneck Models. NeurIPS Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2024	J	`jnl`	Fully automatic extraction of morphological traits from the Web: utopia or reality? CoRR 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
2023	—	`conf`	A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset. ICCV (Workshops) Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis
2023	J	`jnl`	A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset. CoRR Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis
2023	A*	`conf`	DISCOVER: Making Vision Networks Interpretable via Competition and Dissection. NeurIPS Konstantinos P. Panousis, Sotirios Chatzis
2023	J	`jnl`	DISCOVER: Making Vision Networks Interpretable via Competition and Dissection. CoRR Konstantinos P. Panousis, Sotirios Chatzis
2023	J	`jnl`	Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. CoRR Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2023	—	`conf`	Sparse Linear Concept Discovery Models. ICCV (Workshops) Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2023	J	`jnl`	Sparse Linear Concept Discovery Models. CoRR Konstantinos P. Panousis, Dino Ienco, Diego Marcos
2022	—	`conf`	A Deep Learning Approach for Dynamic Balance Sheet Stress Testing. ICAIF Anastasios Petropoulos, Vasilis Siakoulis, Konstantinos P. Panousis, Loukas Papadoulas, Sotirios Chatzis
2022	A*	`conf`	Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations. AAAI Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis
2022	J	`jnl`	Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations. CoRR Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis
2021	—	`conf`	Dialog Speech Sentiment Classification for Imbalanced Datasets. SPECOM Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
2021	J	`jnl`	Dialog speech sentiment classification for imbalanced datasets. CoRR Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
2021	A	`conf`	Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. AISTATS Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis
2021	J	`jnl`	Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. CoRR Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis
2021	J	`jnl`	Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. CoRR Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
2021	A*	`conf`	Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. ICCV Andreas Voskou, Konstantinos P. Panousis, Dimitrios I. Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis
2021	J	`jnl`	Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. CoRR Andreas Voskou, Konstantinos P. Panousis, Dimitrios I. Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis
2021	—	`conf`	Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition. ISVC (2) Konstantinos P. Panousis, Soritios Chatzis, Sergios Theodoridis
2020	J	`jnl`	Local Competition and Uncertainty for Adversarial Robustness in Deep Learning. CoRR Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis
2020	—	`—`	Non-parametric Bayesian approaches to deep neural networks Konstantinos P. Panousis
2020	J	`jnl`	Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition. CoRR Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
2019	A*	`conf`	Nonparametric Bayesian Deep Networks with Local Competition. ICML Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
2018	J	`jnl`	Nonparametric Bayesian Deep Networks with Local Competition. CoRR Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis