Software Packages

Machine learning

• DEIS: Diffusion Exponential Integrator Sampler GitHub
  Fast Sampling of Diffusion Models with Exponential Integrator
  Q. Zhang, and Y. Chen
  

• Diff-PGD GitHub
  Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
  H. Xue, A. Araujo, B. Hu, and Y. Chen
  

• DiffCollage GitHub
  DiffCollage: Parallel Generation of Large Content with Diffusion Models
  Q. Zhang, J. Song, X. Huang, Y. Chen, and M. Liu
  

• PIS: Path Integral Sampler GitHub
  Path Integral Sampler: a stochastic control approach for sampling
  Q. Zhang, and Y. Chen
  

• DiffFlow: Diffusion Normalizing Flow GitHub
  Diffusion Normalizing Flow
  Q. Zhang, and Y. Chen
  

Robotics

• GSC: Generative Skill Chaining GitHub
  Generative Skill Chaining (GSC): Long-Horizon Skill Planning with Diffusion Models
  U. Mishra, S. Xue, Y. Chen, and D. Xu
  

• VIMP: Variational Inference Motion Planning GitHub
  A Gaussian Variational Inference Approach to Motion Planning
  H. Yu, and Y. Chen
  

• ReorientDiff GitHub
  ReorientDiff: Diffusion Model based Reorientation for Object Manipulation
  U. Mishra, and Y. Chen
  

Optimal transport and control

• NeuralMonge: Neural Monge Map GitHub
  Neural Monge Map estimation and its applications
  J. Fan, S. Liu, S. Ma, H. Zhou, and Y. Chen
  

• Neural Wasserstein Barycenter GitHub
  Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
  J. Fan, A. Taghvaei, and Y. Chen
  

• Variational Wasserstein Gradient Flow GitHub
  Variational Wasserstein gradient flow
  J. Fan, Q. Zhang, A. Taghvaei, and Y. Chen
  

• CBP: Constrained Belief Propagation GitHub
  Multi-marginal optimal transport and probabilistic graphical models
  I. Haasler, R. Singh, Q. Zhang, J. Karlsson, and Y. Chen