disease diagnosis 1electroencephalography 1multiple instance learning 1representation learning 1self-supervised learning 1
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cs.LG2026
Rethinking EEG-Based Disease Diagnosis: Decoupling Instance Representation Learning from Subject-Level Supervision
Zhiyuan Ma, Zeyuan Li, Zhiyi Lu +7
The paper introduces BridgeMIL, a two-stage method that first learns EEG instance representations without using inherited labels and then applies subject-level supervision via a mu…
cs.LG2026
Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
Jinhao Li, Yuhao Sun, Zhiyuan Ma +5
Recurrent spiking neural networks (RSNNs) are a promising substrate for energy-efficient control policies, but training them for high-dimensional, long-horizon reinforcement learni…