13 citations · 34 across the 28 of their papers we have counts for
5 papers · 1 filter
Noise-Induced Navigation in Non-convex Domains and Compact Manifolds
Karthik Elamvazhuthi
In this note, we study the problem of designing a feedback law that globally steers a system to a prescribed target configuration. Even if the system is fully actuated, topological…
Notes on Generative Modeling for Feedback Control and Planning
Karthik Elamvazhuthi
In these notes, we view control as a dynamically constrained sampling problem on the state-space of a control system. With this viewpoint, we extend methods from generative modelin…
From Schrodinger Bridge to Optimal Transport over Sub-Riemannian Manifolds
Daniel Owusu Adu, Karthik Elamvazhuthi, Bahman Gharesifard
We study the least-energy way to reshape a probability distribution when motion is constrained to a horizontal bundle, that is, optimal transport and distribution steering in sub-R…
Discrete Diffusion with Sample-Efficient Estimators for Conditionals
Karthik Elamvazhuthi, Abhijith Jayakumar, Andrey Y. Lokhov
We study a discrete denoising diffusion framework that integrates a sample-efficient estimator of single-site conditionals with round-robin noising and denoising dynamics for gener…
Geometry-Preserving Neural Architectures on Manifolds with Boundary
Karthik Elamvazhuthi, Shiba Biswal, Kian Rosenblum +4
A growing number of neural architectures have been proposed to enforce geometric constraints, including projection-based networks, exponential-map updates, constrained output layer…