Proposes diffeomorphic optimization for manifold-constrained problems in generative models via flow maps, with Lie-group extensions for protein design showing metric improvements.
Verifying the union of manifolds hypothesis for image data
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
VSM modulates the score Jacobian using variance guidance to reduce hallucinations in diffusion models by up to 25% on synthetic and real datasets while preserving fidelity and diversity.
The paper establishes a correspondence between Signal Temporal Logic and stratification theory, allowing STL formulas to be viewed as stratifications of space-time and applied to analyze DRL embedding spaces via robustness rewards.
citing papers explorer
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Diffeomorphic Optimization
Proposes diffeomorphic optimization for manifold-constrained problems in generative models via flow maps, with Lie-group extensions for protein design showing metric improvements.
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Score-Control for Hallucination Reduction in Diffusion Models
VSM modulates the score Jacobian using variance guidance to reduce hallucinations in diffusion models by up to 25% on synthetic and real datasets while preserving fidelity and diversity.
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Stratifying Reinforcement Learning with Signal Temporal Logic
The paper establishes a correspondence between Signal Temporal Logic and stratification theory, allowing STL formulas to be viewed as stratifications of space-time and applied to analyze DRL embedding spaces via robustness rewards.