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Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
These results are comparable to those of convergent RNNs and SNNs trained by BPTT.
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed.
Benchmarking Spiking Neural Network Learning Methods with Varying Locality
However, training SNNs is challenging due to the non-differentiable nature of the spiking mechanism.
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
In this work, we study such relative distortions in recall by hypothesizing an intensification effect that is inherent to the model.
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