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Sotirios Chatzis

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DISCOVER: Making Vision Networks Interpretable via Competition and Dissection

Oct 07, 2023
Konstantinos P. Panousis, Sotirios Chatzis

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A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset

Oct 07, 2023
Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis

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Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

Aug 02, 2022
Konstantinos Kalais, Sotirios Chatzis

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Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling

May 28, 2022
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang

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

Jan 10, 2022
Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis

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

Dec 05, 2021
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis

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Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation

Oct 01, 2021
Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis

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Dialog speech sentiment classification for imbalanced datasets

Sep 15, 2021
Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos Panousis, Sotirios Chatzis, Sergios Theodoridis

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Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation

Feb 11, 2021
Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas

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Local Competition and Stochasticity for Adversarial Robustness in Deep Learning

Jan 04, 2021
Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis

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