Yongxin Chen

IEEE Trans. Autom. Control., November, 2025

Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube.

[BibT_eX]

[DOI]

CoRR, March, 2025

Optimal Survival Strategies for Diffusive Flows: A Schrödinger Bridge Approach to Unbalanced Transport.

[BibT_eX]

[DOI]

SIAM Rev., 2025

Verification of Stochastic Systems Under Signal Temporal Logic Specifications.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2025

2024

Density Control of Interacting Agent Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., January, 2024

Stochastic thermodynamic engines under time-varying temperature profile.

[BibT_eX]

[DOI]

Rui Fu

Autom., January, 2024

Graph-Structured Tensor Optimization for Nonlinear Density Control and Mean Field Games.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2024

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport.

[BibT_eX]

[DOI]

Math. Oper. Res., 2024

Safety Verification of Stochastic Systems: A Set-Erosion Approach.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Probabilistic Reachability of Stochastic Control Systems: A Contraction-Based Approach.

[BibT_eX]

[DOI]

CoRR, 2024

A parallel framework for graphical optimal transport.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators.

[BibT_eX]

[DOI]

Joseph Moyalan

IEEE Robotics Autom. Lett., June, 2023

A Gaussian Variational Inference Approach to Motion Planning.

[BibT_eX]

[DOI]

Hongzhe Yu

IEEE Robotics Autom. Lett., May, 2023

Data-driven optimal control via linear transfer operators: A convex approach.

[BibT_eX]

[DOI]

Autom., April, 2023

Signed Graph Neural Networks: A Frequency Perspective.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

An Optimal Control Approach to Particle Filtering on Lie Groups.

[BibT_eX]

[DOI]

Bo Yuan

IEEE Control. Syst. Lett., 2023

Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

On the Contraction Coefficient of the Schrödinger Bridge for Stochastic Linear Systems.

[BibT_eX]

[DOI]

Alexis M. H. Teter

Abhishek Halder

IEEE Control. Syst. Lett., 2023

Learning Gaussian Hidden Markov Models From Aggregate Data.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Control and estimation of multi-commodity network flow under aggregation.

[BibT_eX]

[DOI]

CoRR, 2023

Data-driven optimal control under safety constraints using sparse Koopman approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Macroscopic Network Circulation for Planar Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

The Most Likely Evolution of Diffusing and Vanishing Particles: Schrödinger Bridges with Unbalanced Marginals.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2022

Inference of Aggregate Hidden Markov Models With Continuous Observations.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Data-Driven Optimal Control of Nonlinear Dynamics Under Safety Constraints.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

On the Relation Between Information and Power in Stochastic Thermodynamic Engines.

[BibT_eX]

[DOI]

Rui Fu

IEEE Control. Syst. Lett., 2022

Geometry of Finite-Time Thermodynamic Cycles With Anisotropic Thermal Fluctuations.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Toll Design for Routing Games With Stochastic Demands.

[BibT_eX]

[DOI]

Vijay Gupta

IEEE Control. Syst. Lett., 2022

Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators.

[BibT_eX]

[DOI]

Joseph Moyalan

CoRR, 2022

Thermodynamic engine powered by anisotropic fluctuations.

[BibT_eX]

[DOI]

CoRR, 2022

Learning hidden Markov models from aggregate observations.

[BibT_eX]

[DOI]

Autom., 2022

Sample-based Distributional Policy Gradient.

[BibT_eX]

[DOI]

Keuntaek Lee

Proceedings of the Learning for Dynamics and Control Conference, 2022

Navigation with Probabilistic Safety Constraints: A Convex Formulation.

[BibT_eX]

[DOI]

Joseph Moyalan

Proceedings of the American Control Conference, 2022

On the complexity of the optimal transport problem with graph-structured cost.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multi-Marginal Optimal Transport and Probabilistic Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Regularized Transport Between Singular Covariance Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

On Spectral Properties of Signed Laplacians With Connections to Eventual Positivity.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Li Qiu

IEEE Trans. Autom. Control., 2021

Stochastic Control Liaisons: Richard Sinkhorn Meets Gaspard Monge on a Schrödinger Bridge.

[BibT_eX]

[DOI]

SIAM Rev., 2021

Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2021

Incremental Inference of Collective Graphical Models.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Optimal Steering of Ensembles With Origin-Destination Constraints.

[BibT_eX]

[DOI]

Isabel Haasler

Johan Karlsson

IEEE Control. Syst. Lett., 2021

Energy harvesting from anisotropic fluctuations.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal steering to invariant distributions for networks flows.

[BibT_eX]

[DOI]

CoRR, 2021

Maximal power output of a stochastic thermodynamic engine.

[BibT_eX]

[DOI]

Autom., 2021

Optimal Transport in Systems and Control.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2021

Sum of Squares based Convex Approach for Optimal Control Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Fast and Asymptotic Steering to a Steady State for Networks Flows.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Convex Optimal Control Synthesis Under Safety Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Inference of collective Gaussian hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Efficient computations of multi-species mean field games via graph-structured optimal transport.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Relaxed Schrödinger Bridges and Robust Network Routing.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

Stochastic Control and Nonequilibrium Thermodynamics: Fundamental Limits.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Stability Theory of Stochastic Models in Opinion Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Filtering for Aggregate Hidden Markov Models with Continuous Observations.

[BibT_eX]

[DOI]

CoRR, 2020

A convex data-driven approach for nonlinear control synthesis.

[BibT_eX]

[DOI]

Hyungjin Choi

CoRR, 2020

Stochastic control liasons: Richard Sinkhorn meets Gaspard Monge on a Schroedinger bridge.

[BibT_eX]

[DOI]

CoRR, 2020

Inference with Aggregate Data: An Optimal Transport Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Robustness via Risk Averse Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Harvesting energy from a periodic heat bath.

[BibT_eX]

[DOI]

Rui Fu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.

[BibT_eX]

[DOI]

CoRR, 2019

Probabilistic Kernel Support Vector Machines.

[BibT_eX]

[DOI]

CoRR, 2019

On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator.

[BibT_eX]

[DOI]

CoRR, 2019

Optimal Transport for Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Access, 2019

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-marginal Schrödinger Bridges.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Estimating ensemble flows on a hidden Markov chain.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Covariance steering in zero-sum linear-quadratic two-player differential games.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On optimal steering of a non-Markovian Gaussian process.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Sample Complexity for Nonlinear Stochastic Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Opinion Dynamics over Influence Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Regularization and Interpolation of Positive Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Matrix Optimal Mass Transport: A Quantum Mechanical Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Efficient Robust Routing for Single Commodity Network Flows.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution - Part III.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Measure-Valued Spline Curves: An Optimal Transport Viewpoint.

[BibT_eX]

[DOI]

Giovanni Conforti

SIAM J. Math. Anal., 2018

Vector-Valued Optimal Mass Transport.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2018

An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport.

[BibT_eX]

[DOI]

J. Sci. Comput., 2018

Steering the Distribution of Agents in Mean-Field Games System.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2018

The Role of the Time-Arrow in Mean-Square Estimation of Stochastic Processes.

[BibT_eX]

[DOI]

Johan Karlsson

IEEE Control. Syst. Lett., 2018

State Tracking of Linear Ensembles via Optimal Mass Transport.

[BibT_eX]

[DOI]

Johan Karlsson

IEEE Control. Syst. Lett., 2018

Stochastic control and non-equilibrium thermodynamics: fundamental limits.

[BibT_eX]

[DOI]

CoRR, 2018

Steering the Distribution of Agents in Mean-Field Games.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Robust Transport Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Optimal Transport Over a Linear Dynamical System.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Matricial Wasserstein-1 Distance.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2017

Steering the distribution of agents in mean-field and cooperative games.

[BibT_eX]

[DOI]

CoRR, 2017

Stability Theory in $\ell_1$ for Nonlinear Markov Chains and Stochastic Models for Opinion Dynamics over Influence Networks.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part II.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Stochastic Bridges of Linear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Entropic and Displacement Interpolation: A Computational Approach Using the Hilbert Metric.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2016

On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2016

Transport Distance on Graphs and Vector-Valued Optimal Mass Transport.

[BibT_eX]

[DOI]

CoRR, 2016

Some geometric ideas for feature enhancement of diffusion tensor fields.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A new approach to robust transportation over networks.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Characterizing the positive semidefiniteness of signed Laplacians via Effective Resistances.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Transcriptional responses to ultraviolet and ionizing radiation: An approach based on graph curvature.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

On the definiteness of graph Laplacians with negative weights: Geometrical and passivity-based approaches.

[BibT_eX]

[DOI]

Sei Zhen Khong

Proceedings of the 2016 American Control Conference, 2016

2015

Optimal Mass Transport over Bridges.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - Second International Conference, 2015

Optimal control of the state statistics for a linear stochastic system.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Steering state statistics with output feedback.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal steering of inertial particles diffusing anisotropically with losses.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Fast cooling for a system of stochastic oscillators.

[BibT_eX]

[DOI]

CoRR, 2014

Optimal steering of a linear stochastic system to a final probability distribution.

[BibT_eX]

[DOI]

CoRR, 2014

The flatness of power spectral zeros and their significance in quadratic estimation.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

State covariances and the matrix completion problem.

[BibT_eX]

[DOI]

Mihailo R. Jovanovic