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Found 4 papers, 1 papers with code
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Replica exchange stochastic gradient Langevin dynamics (reSGLD) is an effective sampler for non-convex learning in large-scale datasets.
A New Hybrid Automaton Framework with Partial Differential Equation Dynamics
This paper presents the syntax and semantics of a novel type of hybrid automaton (HA) with partial differential equation (PDE) dynamic, partial differential hybrid automata (PDHA).
Efficient Solvers for Partial Gromov-Wasserstein
The partial Gromov-Wasserstein (PGW) problem facilitates the comparison of measures with unequal masses residing in potentially distinct metric spaces, thereby enabling unbalanced and partial matching across these spaces.
Reflected Schrödinger Bridge for Constrained Generative Modeling
Diffusion models have become the go-to method for large-scale generative models in real-world applications.
