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manifold-optimization

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We present a framework called TLF that builds a classifier for the target domain having only few labeled training records by transferring knowledge from the source domain having many labeled records. While existing methods often focus on one issue and leave the other one for the further work, TLF is capable of handling both issues simultaneously…

  • Updated Mar 25, 2023
  • Java

JuniorQuant breaks the dependency on heavy-compute data centers. Industry-standard NVIDIA Ising models demand a 700W+ power envelope per node, JuniorQuant stabilizes the same manifolds within a 45W peak limit. An Adaptive Tensor Modulation Loop (ATML); replacing floating-point matrix multiplications with multiplier-free b1.58, a 20x eff. yield

  • Updated Apr 15, 2026
  • Python

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