Kouni, Vicky, Yannis Panagakis, "Generalization analysis of an unfolding network for analysis-based compressed sensing", In: Applied and Computational Harmonic Analysis, pp. 101787, 2025.
Kouni, Vicky, Yannis Panagakis, "DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Estimates", In: IEEE Transactions on Signal Processing, vol. 71, pp. 1938-1951, 2023, doi: 10.1109/TSP.2023.3272286.
Kouni, Vicky, Holger Rauhut, Theoharis Theoharis, "Star DGT: a Robust Gabor Transform for Speech Denoising", In: Sampling Theory, Signal Processing, and Data Analysis, vol. 21, no. 14, 2023, doi: 10.1007/s43670-023-00053-x.
Kouni, Vicky, Stelios Perrakis, Francis Bach, Pascal Frossard, Yann Chevaleyre, "Frame the adversary: a structure-aware attack methodology", In: Advances in Neural Information Processing (NeurIPS'26), 2026.
Kumaran, Madhavan C., Midhun Parakkal Unni, Vicky Kouni, Haripriya Harikumar, "Similarity-Aware Machine Unlearning", In: European Conference on Machine Learning & Practice of Knowledge Discovery in Databases (ECML-PKDD), 2nd Workshop on Machine Unlearning and Privacy Preservation, 2026.
Kouni, Vicky, "Adversarial Generalization of Unfolding (Model-based) Networks", In: International Congress of Mathematics (ICM'26), 2026.
Kouni, Vicky, "Adversarial Generalization of Unfolding (Model-based) Networks", In: Foundations of Computational Mathematics (FOCM'26), Workshop on Foundations of Data Science & Machine Learning, 2026.
Kouni, Vicky, "A Hitchhiker's Guide to the Robustness of Unfolding Networks", In: 3rd Congress of Greek Mathematicians, 2026.
Kouni, Vicky, "Adversarial Generalization of Unfolding (Model-based) Networks", In: Conference on Parsimony & Learning (CPAL'26) - recent spotlight track, 2026.
Kouni, Vicky, "Adversarial Generalization of Unfolding (Model-based) Networks", In: Advances in Neural Information Processing (NeurIPS'25), 2025.
Kouni, Vicky, "How to warm-start your unfolding network", In: Greek Stochastics, 2025.
Kouni, Vicky, "How to warm-start your unfolding network", In: IEEE 15th International Conference on Sampling Theory and Applications (IEEE SampTA2025)
Kouni, Vicky, "The Lipschitz constant of overparameterized neural networks", In: 9th European Congress of Mathematics (9ECM), 2024.
Kouni, Vicky, "Probabilistic bounds for the generalization error of overparameterized neural networks", In: 9th European Congress of Mathematics (9ECM), 2024.
Kouni, Vicky, "Deep unfolding for analysis Compressed Sensing: does redundancy affect the generalization ability?", In: 8th International Conference on Computational Harmonic Analysis (ICCHA2022), 2022.
Kouni, Vicky, Georgios Paraskevopoulos, Holger Rauhut, George C. Alexandropoulos, "ADMM-DAD Net: A Deep Unfolding Network for Analysis Compressed Sensing", In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 1506-1510, doi: 10.1109/ICASSP43922.2022.9747096.
Kouni, Vicky, Holger Rauhut, "Spark Deficient Gabor Frames for Inverse Problems", In: 2021 Online International Conference on Computational Harmonic Analysis (Online ICCHA).
Kouni, Vicky, Holger Rauhut, "Spark Deficient Gabor Frame Provides a Novel Analysis Operator for Compressed Sensing", In: 2021 International Conference on Neural Information Processing (ICONIP), pp. 700-708. Springer, Cham, 2021, doi: 10.1007/978-3-030-92310-5_81.
You can find code for the experiments of my papers at my github page.