Feature selection, Neural Network, information bottleneck, interpretability, multi-view learning
Differentiable causal discovery, Information theory, Heterogeneous data, Minimum error entropy
Multi-view Learning, Multi-view Clustering, M-estimator, Robustness
correntropy, noisy labels, robust label loss, deep neural network
correntropy, noisy labels, noise-tolerant
Graph Neural Network, Information Theory, Functional Magnetic Resonance Imaging, Subtyping, Major Depression, Multi-Site
Multi-view Learning, common information, matrix-based Rényi's α-order entropy functional, Total Correlation
Scene Graph Generation, Head-Tail Cooperative Network, Self-supervised Learning, Unbiased
Kernel adaptive filtering, Generalized correntropy criterion, Generalized correntropy criterion with variable center, Mean square analysis.
Noisy label learning, correntropy, deep learning, robust loss
Robust Estimation, Least Trimmed Squares (LTS), Continuously Differentiable LTS (CD-LTS)
graph neural networks, multi-view learning, structural enhancement, reliable aggregation
electric vehicle, state of charge estimation, Gated recurrent unit, cubature Kalman filter, generalized maximum correntropy criterion, non-Gaussian noise
