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Yongxin
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2021
Diffusion Normalizing Flow
Qinsheng Zhang, Yongxin Chen
Conference on Neural Information Processing Systems (Neurips) 2021
PDF
Code
Inference of collective Gaussian hidden Markov models
Rahul Singh, Yongxin Chen
IEEE CONTROL SYSTEMS 2021
PDF
Scalable Computation of Monge Maps with General Costs
Jiaojiao Fan*, Shu Liu*, Shaojun Ma*, Yongxin Chen, Haomin Zhou
Under review 2021
PDF
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
International Conference on Machine Learning (ICML) (
long talk
) 2021
PDF
Code
Multi-marginal optimal transport and probabilistic graphical models
Yongxin Chen, Tryphon T Georgiou, Michele Pavon
Annual Review of Control, Robotics, and Autonomous Systems 2021
PDF
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
SIAM Journal on Control and Optimization 2021
PDF
2020
Learning Hidden Markov Models from Aggregate Observations
Rahul Singh, Qinsheng Zhang, Yongxin Chen
Under review 2020
PDF
Filtering for Aggregate Hidden Markov Models with Continuous Observations
Qinsheng Zhang, Rahul Singh, Yongxin Chen
Under review 2020
PDF
Inference with Aggregate Data: An Optimal Transport Approach
Rahul Singh*, Isabel Haasler*, Qinsheng Zhang*, Johan Karlsson, Yongxin Chen
Under review 2020
PDF
Code
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
Conference on Neural Information Processing Systems (Neurips) (
Oral
) 2020
PDF
On the matrix Monge–Kantorovich problem
Yongxin Chen, Wilfrid Gangbo, Tryphon Georgiou, Allen Tannenbaum
European Journal of Applied Mathematics 2020
PDF
Improving Robustness via Risk Averse Distributional Reinforcement Learning
Rahul Singh*, Qinsheng Zhang*, Yongxin Chen
Learning for Dynamics and Control (L4DC) 2020
PDF
Incremental inference of collective graphical models.
Rahul Singh*, Isabel Haasler*, Qinsheng Zhang*, Johan Karlsson, Yongxin Chen
IEEE Control Systems Letters 2020
PDF
Multi-marginal optimal transport and probabilistic graphical models
Isabel Haasler*, Rahul Singh*, Qinsheng Zhang*, Johan Karlsson, and Yongxin Chen
IEEE Transactions on Information Theory 2020
PDF
Code
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
Ninth International Conference on Learning Representations 2020
PDF
Nonlinear Covariance Control via Differential Dynamic Programming
Zeji Yi*, Zhefeng Cao*, Evangelos Theodorou, Yongxin Chen
American Control Conference (ACC) 2020
PDF
2019
Provably Global Convergence of Actor- Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
Conference on Neural Information Processing Systems 2019
PDF
Network curvature as a hallmark of brain structural connectivity
Hamza Farooq, Yongxin Chen, Tryphon T. Georgiou, Allen Tannenbaum, Christophe Lenglet
Nature Communications 2019
PDF
Estimating Ensemble Flows on a Hidden Markov Chain
Isabel Haasler, Axel Ringh, Yongxin Chen, Johan Karlsson
IEEE Conference on Decision and Control 2019
PDF
Alternating Gradient Descent Ascent for Nonconvex-strongly-concave Min-Max Optimization
Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong
Asilomar Conference on Signals, Systems and Computers 2019
PDF
2018
Matrix Optimal Mass Transport: a Quantum Mechanical Approach
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon, Allen Tannenbaum
IEEE Transactions on Automatic Control 2018
PDF
Measure-valued spline curves: An optimal transport viewpoint
Yongxin Chen, Giovanni Conforti, Tryphon Georgiou
SIAM Journal of Mathematical Analysis 2018
PDF
Optimal steering of a linear stochastic system to a final probability distribution, part III
Yongxin Chen, Tryphon Georgiou, Michele Pavon
IEEE Transactions on Automatic Control 2018
PDF
State tracking of linear ensembles via optimal mass transport
Yongxin Chen, Johan Karlsson
IEEE Control Systems Letters 2018
PDF
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications
Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley Osher
SIAM Journal of Scientific Computing 2018
PDF
2017
Optimal transport over a linear dynamical system
Yongxin Chen, Tryphon Georgiou, Michele Pavon
IEEE Transactions on Automatic Control 2017
PDF
Robust transport over networks
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon, Allen Tannenbaum
IEEE Transactions on Automatic Control 2017
PDF
2016
On the relation between optimal transport and Schroedinger bridges: A stochastic control viewpoint
Yongxin Chen, Tryphon Georgiou, Michele Pavon
Journal of Optimization Theory and Applications 2016
PDF
Optimal steering of a linear stochastic system to a final probability distribution, part I
Yongxin Chen, Tryphon Georgiou, Michele Pavon
IEEE Transactions on Automatic Control 2016
George S. Axelby Best Paper Award
PDF
Optimal steering of a linear stochastic system to a final probability distribution, part II
Yongxin Chen, Tryphon Georgiou, Michele Pavon
IEEE Transactions on Automatic Control 2016
PDF
0001
Regularized transport between singular covariance matrices
Valentina Ciccone, Yongxin Chen, Tryphon T Georgiou, Michele Pavon
Annual Review of Control, Robotics, and Autonomous Systems 0001
PDF