Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models. - Anjian Li; Amlan Sinha; Ryne Beeson (CoRR, 2023)

Constraint-Aware Diffusion Models for Trajectory Optimization. - Anjian Li; Zihan Ding; Adji Bousso Dieng; Ryne Beeson (DDDAS/Infosymbiotics, 2024)

Generalized Bernoulli Gauss von Mises Distribution for Uncertainty Realism on Saddle-Center Spaces. - Ryne Beeson (FUSION, 2024)

Projected Feedback Particle Filtering for Chaotic Dynamical Systems Using Lyapunov Vectors. - Yujing Zhou; Ryne Beeson (FUSION, 2024)

Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model. - Anjian Li; Zihan Ding; Adji Bousso Dieng; Ryne Beeson (CoRR, 2024)

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models. - Jannik Graebner; Anjian Li; Amlan Sinha; Ryne Beeson (CoRR, 2024)

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models. - Ryne Beeson; Anjian Li; Amlan Sinha (CoRR, 2024)

DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization. - Anjian Li; Zihan Ding; Adji Bousso Dieng; Ryne Beeson (L4DC, 2025)

Global Search for Optimal Low Thrust Spacecraft Trajectories using Diffusion Models and the Indirect Method. - Jannik Graebner; Ryne Beeson (CoRR, 2025)

End-to-End Predictive Planner for Autonomous Driving with Consistency Models. - Anjian Li; Sangjae Bae; David Isele; Ryne Beeson; Faizan M. Tariq (CoRR, 2025)

Aligning Diffusion Model with Problem Constraints for Trajectory Optimization. - Anjian Li; Ryne Beeson (CoRR, 2025)