2 citations · 2 across the 4 of their papers we have counts for
4 papers
Self-supervised diffusion model fine-tuning for costate initialization using Markov chain Monte Carlo
Jannik Graebner, Ryne Beeson
Global search and optimization of long-duration, low-thrust spacecraft trajectories with the indirect method is challenging due to a complex solution space and the difficulty of ge…
Aligning Diffusion Model with Problem Constraints for Trajectory Optimization
Anjian Li, Ryne Beeson
Diffusion models have recently emerged as effective generative frameworks for trajectory optimization, capable of producing high-quality and diverse solutions. However, training th…
Nudged Particle Filter with Optimal Resampling Applied to the Duffing Oscillator
Ryne Beeson, Uwe Hanebeck
Efficiently solving the continuous-time signal and discrete-time observation filtering problem for chaotic dynamical systems presents unique challenges in that the advected distrib…
Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Anjian Li, Amlan Sinha, Ryne Beeson
Preliminary trajectory design is a global search problem that seeks multiple qualitatively different solutions to a trajectory optimization problem. Due to its high dimensionality…