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Found 3 papers, 2 papers with code
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
We theoretically show the existence of manifold deviation by establishing a certain lower bound for the estimation error of the loss guidance.
Reduced Policy Optimization for Continuous Control with Hard Constraints
To the best of our knowledge, RPO is the first attempt that introduces GRG to RL as a way of efficiently handling both equality and inequality hard constraints.
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation
Deep Equilibrium Models (DEQs) and Neural Ordinary Differential Equations (Neural ODEs) are two branches of implicit models that have achieved remarkable success owing to their superior performance and low memory consumption.
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