A taxonomy of SNN training algorithms is presented with the release of NeuroTrain, an open benchmarking framework for reproducible comparisons across datasets and architectures.
End-to-End Driving Via Conditional Imitation Learning , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Simulator sidecar supervision on road users during training reduces final displacement error in camera-first open-loop waypoint prediction from 1.815 m to 1.223 m on route-disjoint simulation splits.
citing papers explorer
-
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
A taxonomy of SNN training algorithms is presented with the release of NeuroTrain, an open benchmarking framework for reproducible comparisons across datasets and architectures.
-
Mind the Privileged-to-Camera Gap: Actor-Centric Sidecar Supervision for Camera-First Open-Loop Waypoint Prediction
Simulator sidecar supervision on road users during training reduces final displacement error in camera-first open-loop waypoint prediction from 1.815 m to 1.223 m on route-disjoint simulation splits.