2 citations · 2 across the 5 of their papers we have counts for
5 papers
Sharp hypocoercive convergence estimates for underdamped Langevin dynamics with specular reflection
Hengrong Du, Qi Feng, Lingjiong Zhu
We study the underdamped (kinetic) Langevin dynamics confined to a bounded domain by specular reflection of the velocity at the boundary. This process is the…
Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals
Munawar Ali, Qi Feng, Charlie Pyle +1
We develop a branched signature kernel solver for linear and nonlinear ordinary differential equations driven by a \emph{single observed trajectory} of a possibly rough forcing sig…
Non-Reversible Langevin Algorithms for Constrained Sampling
Hengrong Du, Qi Feng, Changwei Tu +2
We consider the constrained sampling problem where the goal is to sample from a target distribution on a constrained domain. We propose skew-reflected non-reversible Langevin dynam…
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng, Hengrong Du, Qi Feng +2
Replica exchange stochastic gradient Langevin dynamics (reSGLD) is an effective sampler for non-convex learning in large-scale datasets. However, the simulation may encounter stagn…
Reflected Schrödinger Bridge for Constrained Generative Modeling
Wei Deng, Yu Chen, Nicole Tianjiao Yang +3
Diffusion models have become the go-to method for large-scale generative models in real-world applications. These applications often involve data distributions confined within boun…