PolyStep optimizes non-differentiable networks via forward-only polytope evaluations and optimal-transport barycentric updates, reaching 93.4% accuracy on hard-LIF spiking networks while outperforming gradient-free baselines.
arXiv preprint arXiv:2310.00965 , year=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Training Non-Differentiable Networks via Optimal Transport
PolyStep optimizes non-differentiable networks via forward-only polytope evaluations and optimal-transport barycentric updates, reaching 93.4% accuracy on hard-LIF spiking networks while outperforming gradient-free baselines.