Publications

Yongxin Google Scholar

2023

Stochastic thermodynamic engines under time-varying temperature profile
Automatica 2023 PDF
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation
CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP) 2023 PDF
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Neural Information Processing Systems 2023 PDF
DiffCollage: Parallel Generation of Large Content with Diffusion Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 PDF Video Project
Mean field type control with species dependent dynamics via structured tensor optimization
IEEE Control Systems Letters 2023 PDF
On a Class of Gibbs Sampling over Networks
Conference on Learning Theory 2023 PDF
Scalable computation of dynamic flow problems via multimarginal graph-structured optimal transport
Mathematics of Operations Research 2023 PDF
Markov chain Monte Carlo for Gaussian: A linear control perspective
IEEE Control Systems Letters 2023 PDF
A Proximal Algorithm for Sampling
Transactions on Machine Learning Research 2023 PDF
Data-driven optimal control under safety constraints using sparse Koopman approximation
Preprint 2023 PDF
An optimal control approach to particle filtering
Automatica 2023 PDF
Density control of interacting agent systems
IEEE Transactions on Automatic Control 2023 PDF
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
International Conference on Machine Learning 2023 PDF
Data-driven optimal control via linear transfer operators: A convex approach
Automatica 2023 PDF
Convex Approach to Data-Driven Off-Road Navigation via Linear Transfer Operators
IEEE Robotics and Automation Letters 2023 PDF
A Gaussian variational inference approach to motion planning
IEEE Robotics and Automation Letters 2023 PDF
Improved dimension dependence of a proximal algorithm for sampling
Conference on Learning Theory 2023 PDF
Signed Graph Neural Networks: A Frequency Perspective
Transactions on Machine Learning Research 2023 PDF
Fast Sampling of Diffusion Models with Exponential Integrator
International Conference on Learning Representations 2023 PDF
gDDIM: Generalized denoising diffusion implicit models
International Conference on Learning Representations 2023 PDF Code

2022

An optimal control approach to particle filtering on Lie groups
IEEE Control Systems Letters 2022 PDF
A proximal algorithm for sampling from non-smooth potentials
2022 Winter Simulation Conference (WSC) 2022 PDF
Inertialess gyrating engines
PNAS Nexus 2022 PDF
Nesterov smoothing for sampling without smoothness
Preprint 2022 PDF
The most likely evolution of diffusing and vanishing particles: Schrodinger Bridges with unbalanced marginals
SIAM Journal on Control and Optimization 2022 PDF
Improved analysis for a proximal algorithm for sampling
Conference on Learning Theory 2022 PDF
Toll Design for Routing Games With Stochastic Demands
IEEE Control Systems Letters 2022 PDF
Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations
IEEE Control Systems Letters 2022 PDF
Thermodynamic engine powered by anisotropic fluctuations
Physical Review Research 2022 PDF
Navigation with Probabilistic Safety Constraints: A Convex Formulation
American Control Conference (ACC) 2022 PDF
Macroscopic network circulation for planar graphs
IEEE Transactions on Control of Network Systems 2022 PDF
Sample-based distributional policy gradient
Learning for Dynamics and Control Conference 2022 PDF
Inference with aggregate data in probabilistic graphical models: An optimal transport approach
IEEE Transactions on Automatic Control 2022 PDF Code
On the complexity of the optimal transport problem with graph-structured cost
International Conference on Artificial Intelligence and Statistics 2022 PDF
Scalable Computation of Monge Maps with General Costs
ICLR Workshop on Deep Generative Models for Highly Structured Data 2022 PDF Project
Inference of Aggregate Hidden Markov Models With Continuous Observations
IEEE Control Systems Letters 2022 PDF
Learning Hidden Markov Models from Aggregate Observations
Automatica 2022 PDF
Path Integral Sampler: A Stochastic Control Approach For Sampling
International Conference on Learning Representations 2022 PDF
Variational Wasserstein gradient flow
International Conference on Machine Learning 2022 PDF Code
Data-driven optimal control of nonlinear dynamics under safety constraints
IEEE Control Systems Letters 2022 PDF

2021

Convex optimal control synthesis under safety constraints
IEEE Conference on Decision and Control (CDC) 2021 PDF
Efficient computations of multi-species mean field games via graph-structured optimal transport
IEEE Conference on Decision and Control (CDC) 2021 PDF
Inference of collective Gaussian hidden Markov models
Conference on Decision and Control (CDC) 2021 PDF
Graph-structured tensor optimization for nonlinear density control and mean field games
Preprint 2021 PDF
Diffusion Normalizing Flow
Conference on Neural Information Processing Systems (NeurIPS) 2021 PDF Code
Energy harvesting from anisotropic fluctuations
Physical Review E 2021 PDF
A convex data-driven approach for nonlinear control synthesis
Mathematics 2021 PDF
Feedback particle filter for collective inference
Foundations of Data Science 2021 PDF
Covariance Steering for Nonlinear Control-affine Systems
Preprint 2021 PDF
Optimal Transport for Applications in Control and Estimation
IEEE Control Systems Magazine 2021 PDF
Controlling Uncertainty
IEEE Control Systems Magazine 2021 PDF
Fast and Asymptotic Steering to a Steady State for Networks Flows
Geometric Science of Information 2021 PDF
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem
SIAM Journal on Control and Optimization 2021 PDF
Sum of Squares based Convex Approach for Optimal Control Synthesis
2021 29th Mediterranean Conference on Control and Automation (MED) 2021 PDF
Stein particle filtering
Preprint 2021 PDF
Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile
Physical Review E 2021 PDF
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
International Conference on Machine Learning (ICML) (long talk) 2021 PDF Code
On the relation between information and power in stochastic thermodynamic engines
IEEE Control Systems Letters 2021 PDF
Stochastic Control Liaisons: Richard Sinkhorn Meets Gaspard Monge on a Schrödinger Bridge
SIAM Review 2021 PDF
Multi-marginal optimal transport and probabilistic graphical models
IEEE Transactions on Information Theory 2021 PDF Code
Optimal transport in systems and control
Annual Review of Control, Robotics, and Autonomous Systems 2021 PDF
Learning High Dimensional Wasserstein Geodesics
Preprint 2021 PDF
Maximal power output of a stochastic thermodynamic engine
Automatica 2021 PDF

2020

Variational Transport: A Convergent Particle-Based Algorithm for Distributional Optimization
Preprint 2020 PDF
Harvesting energy from a periodic heat bath
IEEE Conference on Decision and Control (CDC) 2020 PDF
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Conference on Neural Information Processing Systems (Neurips) (Oral) 2020 PDF
Regularized transport between singular covariance matrices
IEEE Transactions on Automatic Control 2020 PDF
On the matrix Monge–Kantorovich problem
2020 PDF
Improving Robustness via Risk Averse Distributional Reinforcement Learning
Learning for Dynamics and Control 2020 PDF
On Spectral Properties of Signed Laplacians with Connections to Eventual Positivity
IEEE Transactions on Automatic Control 2020 PDF
Optimal Steering of Ensembles With Origin-Destination Constraints
IEEE Control Systems Letters 2020 PDF
Mixed Norm ℋ2/ℋ∞ and Entropy Covariance Control: A Convex Optimization Approach
2020 American Control Conference (ACC) 2020 PDF
Nonlinear Covariance Control via Differential Dynamic Programming
2020 American Control Conference (ACC) 2020 PDF
Incremental inference of collective graphical models.
IEEE Control Systems Letters 2020 PDF
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
Ninth International Conference on Learning Representations 2020 PDF
Hybrid block successive approximation for one-sided non-convex min-max problems: algorithms and applications
IEEE Transactions on Signal Processing 2020 PDF

2019

Provably Global Convergence of Actor- Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Conference on Neural Information Processing Systems 2019 PDF
Network curvature as a hallmark of brain structural connectivity
Nature Communications 2019 PDF
Estimating Ensemble Flows on a Hidden Markov Chain
IEEE Conference on Decision and Control 2019 PDF
Alternating Gradient Descent Ascent for Nonconvex-strongly-concave Min-Max Optimization
Asilomar Conference on Signals, Systems and Computers 2019 PDF

2018

Matrix Optimal Mass Transport: a Quantum Mechanical Approach
IEEE Transactions on Automatic Control 2018 PDF
Measure-valued spline curves: An optimal transport viewpoint
SIAM Journal of Mathematical Analysis 2018 PDF
Optimal steering of a linear stochastic system to a final probability distribution, part III
IEEE Transactions on Automatic Control 2018 PDF
State tracking of linear ensembles via optimal mass transport
IEEE Control Systems Letters 2018 PDF
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications
SIAM Journal of Scientific Computing 2018 PDF

2017

Optimal transport over a linear dynamical system
IEEE Transactions on Automatic Control 2017 PDF
Robust transport over networks
IEEE Transactions on Automatic Control 2017 PDF

2016

Characterizing the Positive Semidefiniteness of Weighted Laplacians via Generalized Effective Resistances
Proc. 55th IEEE Conf. Decision Control 2016 PDF
On the relation between optimal transport and Schroedinger bridges: A stochastic control viewpoint
Journal of Optimization Theory and Applications 2016 PDF
Optimal steering of a linear stochastic system to a final probability distribution, part I
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
IEEE Transactions on Automatic Control 2016 PDF
Noncommutative Sinkhorn theorem and generalizations
the 22nd International Symposium on Mathematical Theory of Networks and Systems, Minneapolis, MN, USA 2016 PDF