TBP-mHC proposes parameterizations of the Birkhoff polytope via transportation polytopes that achieve exact double stochasticity for hyper-connections using only (n-1)^2 degrees of freedom.
Root mean square layer normalization
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
DLR-Lock locks open-weight LLMs against unauthorized fine-tuning by swapping MLPs for deep low-rank residual networks that inflate backprop memory and complicate optimization, yet preserve original capabilities via module-wise distillation.
HoloMotion-1 trains a MoE Transformer policy on hybrid video and MoCap motion data to achieve robust zero-shot tracking that transfers directly to real humanoid robots.
citing papers explorer
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TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes
TBP-mHC proposes parameterizations of the Birkhoff polytope via transportation polytopes that achieve exact double stochasticity for hyper-connections using only (n-1)^2 degrees of freedom.
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Locking Pretrained Weights via Deep Low-Rank Residual Distillation
DLR-Lock locks open-weight LLMs against unauthorized fine-tuning by swapping MLPs for deep low-rank residual networks that inflate backprop memory and complicate optimization, yet preserve original capabilities via module-wise distillation.
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HoloMotion-1 Technical Report
HoloMotion-1 trains a MoE Transformer policy on hybrid video and MoCap motion data to achieve robust zero-shot tracking that transfers directly to real humanoid robots.