Foundations of Learning And Intelligent Robots

Foundations of Learning And Intelligent Robots

Inference for large populations with aggregate observations

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Diffusion Normalizing Flow
Conference on Neural Information Processing Systems (Neurips) 2021 PDF Code
Inference of collective Gaussian hidden Markov models
Scalable Computation of Monge Maps with General Costs
Under review 2021 PDF
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
International Conference on Machine Learning (ICML) (long talk) 2021 PDF Code
Multi-marginal optimal transport and probabilistic graphical models
Annual Review of Control, Robotics, and Autonomous Systems 2021 PDF
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem
SIAM Journal on Control and Optimization 2021 PDF
Learning Hidden Markov Models from Aggregate Observations
Under review 2020 PDF
Inference with Aggregate Data: An Optimal Transport Approach
Under review 2020 PDF Code

More Publications

A fast algorithm for graphical optimal transport

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Yongxin Chen

Assistant Professor, GaTech

Rahul Singh

ML PhD, GaTech

Qinsheng Zhang

Robotics PhD, GaTech

Jiaojiao Fan

ML Ph.D, GaTech

Hongzhe Yu

Robotics Ph.D, GaTech

Full team

In this project, you are challenged to design autonomous robots.

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All open projects