Controlling the spectral norm of implicitly linear layers (e.g., convolutional layers)
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Updated
May 17, 2024 - Python
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spectral-norm
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Wormhole Hyperconnections — Drop-in replacement for residual connections (x + F(x) → WHC). 50x faster at scale. 93 params. Proven stable.
machine-learning deep-learning optimization pytorch neural-networks gradient-descent research-paper manifold-learning whc gradient-flow pytorch-library spectral-norm drop-in-replacement residual-connections ml-research stable-training fast-training physics-inspired-ml wormhole-hyperconnections hyperconnection
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Updated
Jul 16, 2026 - Python
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