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cs.LG2025
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, Mohammad H. Abbasi +3
Confounders are extraneous variables that affect both the input and the target, resulting in spurious correlations and biased predictions. There are recent advances in dealing with…
cs.LG2025
Neural Autoregressive Modeling of Brain Aging
Ridvan Yesiloglu, Wei Peng, Md Tauhidul Islam +1
Brain aging synthesis is a critical task with broad applications in clinical and computational neuroscience. The ability to predict the future structural evolution of a subject's b…