Model1D-ResNet

1D-ResNet

A one-dimensional residual network, a one-dimensional variant of ResNet commonly used for processing sequential data.

Timeline (last 90 days)

Nov 4

Under matched training conditions with training sample sizes from 10^5 to 10^6, ΦasmaNet shows advantages in comparisons against baseline models such as MLP, 1D-ResNet, and Transformer-encoder.

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All Facts (1)

Unverified

Under matched training conditions with training sample sizes from 10^5 to 10^6, ΦasmaNet shows advantages in comparisons against baseline models such as MLP, 1D-ResNet, and Transformer-encoder.

50%

Source Articles

ΦasmaNet: A Spectral Token-Refinement Architecture for Instant Gravitational-Wave SNR ComputationNov 4