Gaussian initialization
PulseAugur coverage of Gaussian initialization — every cluster mentioning Gaussian initialization across labs, papers, and developer communities, ranked by signal.
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Random Transformers Can Approximate Functions With Soft Prompts
Researchers have demonstrated that a single-layer softmax attention network with random, untrained weights can approximate any Hölder function on a compact manifold when guided by an appropriate soft prompt. This findin…
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New research challenges Fourier alignment in single-neuron AI models
Researchers have presented a counterexample to the Fourier alignment hypothesis in single-neuron modular addition. The study demonstrates a scenario where a ReLU neuron, initially active, becomes inactive and freezes at…
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New research details AMP for phase retrieval with random initialization
Researchers have analyzed approximate message passing (AMP) with independent Gaussian initialization for noiseless phase retrieval. Their findings indicate that random initialization requires a growing number of iterati…
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New research reveals exponentially many ways to avoid barren plateaus in quantum neural networks
A new research paper introduces a first-moment framework to analyze initialization strategies for quantum neural networks. The study demonstrates that there are exponentially many ways to initialize parameters to avoid …
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Quantum circuit born machines trainability analyzed under Gaussian initialization
Researchers have analyzed the trainability of Quantum Circuit Born Machines (QCBMs) that utilize Instantaneous Quantum Polynomial (IQP) circuits, specifically under Gaussian initialization schemes. The study employs Ste…