An information bottleneck approach for feature selection.
Pattern Recognit., 2025
Measuring generalized divergence for multiple distributions with application to deep clustering.
Pattern Recognit., 2025
Towards a robust multi-view information bottleneck using Cauchy-Schwarz divergence.
Inf. Fusion, 2025
Divergence-guided disentanglement of view-common and view-unique representations for multi-view data.
Inf. Fusion, 2025
Koopman Operator-Based Integrated Guidance and Control for Strap-Down High-Speed Missiles.
IEEE Trans. Control. Syst. Technol., November, 2024
On the adversarial robustness of generative autoencoders in the latent space.
Neural Comput. Appl., May, 2024
Discovering common information in multi-view data.
Inf. Fusion, 2024
On inf-sup stability and optimal convergence of the quasi-reversibility method for unique continuation subject to Poisson's equation.
CoRR, 2024
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications.
CoRR, 2024
Solving the unique continuation problem for Schrödinger equations with low regularity solutions using a stabilized finite element method.
CoRR, 2024
Orthogonal Maximum Correntropy Learning.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020