2026
High-Fidelity ANN-to-SNN Conversion via Closed-Loop CKA Distillation
ICML 2026poster
ANN-to-SNN conversion offers energy-efficient inference but faces a fidelity-latency trade-off due to open-loop error accumulation. While conversion-aware training mitigates this, it sacrifices the generality of using off-the-shelf ANNs. We propose a closed-loop fine-tuning framework that calibrates…