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Beichen Huang

3 accepted papers

2026

Discovering heterogeneous synaptic plasticity rules via large-scale neural evolution

ICLR 2026poster

Synaptic plasticity is a fundamental substrate for learning and memory, where different synapse types exhibit distinct plasticity mechanisms. However, how functional behaviors emerge from heterogeneous synaptic plasticity mechanisms remains poorly understood. Here, we introduce a computational frame…

Cited by 0SourceScholar
2024

Multidimensional Fractional Programming for Normalized Cuts

NeurIPS 2024poster

The Normalized cut (NCut) problem is a fundamental and yet notoriously difficult one in the unsupervised clustering field. Because the NCut problem is fractionally structured, the fractional programming (FP) based approach has worked its way into a new frontier. However, the conventional FP techniqu…

Cited by 2SourcePDFScholar