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ICNNs
ICNNs
PulseAugur coverage of ICNNs — every cluster mentioning ICNNs across labs, papers, and developer communities, ranked by signal.
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RECENT · PAGE 1/1 · 2 TOTAL
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New research proves W[1]-hardness for ICNN Lipschitz constant computation
Researchers have established the parameterized complexity of computing $L_p$-Lipschitz constants for two-layer input-convex neural networks (ICNNs). This problem is equivalent to maximizing the $L_p$-norm over a zonotop…
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New HyCNNs architecture offers improved convex function learning and optimal transport
Researchers have developed Hyper Input Convex Neural Networks (HyCNNs), a new architecture designed to learn convex functions more efficiently than existing Input Convex Neural Networks (ICNNs). HyCNNs integrate Maxout …