Yongxin Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReorientDiff: Diffusion Model based Reorientation for Object Manipulation.

[BibT_eX]

[DOI]

Utkarsh A. Mishra

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Weakly Aligned Multi-spectral Pedestrian Detection via Cross-Modality Differential Enhancement and Multi-scale Spatial Alignment.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Toward effective protection against diffusion-based mimicry through score distillation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CLPSD: Detecting Ethereum Phishing Scams based on Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Curriculum Learning for Ethereum Phishing Scam Detection.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Ethereum Phishing Scams Detection Based on Graph Contrastive Learning with Augmentations.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph.

[BibT_eX]

[DOI]

Utkarsh Aashu Mishra

Danfei Xu

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

A Proximal Algorithm for Sampling.

[BibT_eX]

[DOI]

Jiaming Liang

Trans. Mach. Learn. Res., 2023

Neural Monge Map estimation and its applications.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Efficient Belief Road Map for Planning Under Uncertainty.

[BibT_eX]

[DOI]

Zhenyang Chen

Hongzhe Yu

CoRR, 2023

Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms.

[BibT_eX]

[DOI]

Hongzhe Yu

CoRR, 2023

Online Control for Linear Dynamics: A Data-Driven Approach.

[BibT_eX]

[DOI]

Zishun Liu

CoRR, 2023

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling.

[BibT_eX]

[DOI]

Jiaming Song

CoRR, 2023

An optimal control approach to particle filtering.

[BibT_eX]

[DOI]

Autom., 2023

Research on Pilot Protection for Tie Line of Renewable Energy Sources.

[BibT_eX]

[DOI]

IEEE Access, 2023

Real-Time Multispectral Pedestrian Detection with Weakly Aligned Cross-Modal Learning.

[BibT_eX]

[DOI]

Yong Guan

Zhenzhou Shao

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Performance, 2023

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

gDDIM: Generalized denoising diffusion implicit models.

[BibT_eX]

[DOI]

Molei Tao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast Sampling of Diffusion Models with Exponential Integrator.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffCollage: Parallel Generation of Large Content with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

On a Class of Gibbs Sampling over Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Improved dimension dependence of a proximal algorithm for sampling.

[BibT_eX]

[DOI]

Bo Yuan

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Nesterov Smoothing for Sampling Without Smoothness.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Stochastic Bridges Over Ensemble of Linear Systems.

[BibT_eX]

[DOI]

Daniel Owusu Adu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Mixed norm H2/H∞ and entropy covariance control: a convex optimisation approach.

[BibT_eX]

[DOI]

Wassim M. Haddad

Manuel Lanchares

Int. J. Control, 2022

A Gaussian variational inference approach to motion planning.

[BibT_eX]

[DOI]

Hongzhe Yu

CoRR, 2022

A Proximal Algorithm for Sampling from Non-Smooth Potentials.

[BibT_eX]

[DOI]

Jiaming Liang

Proceedings of the Winter Simulation Conference, 2022

TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Performance, 2022

Cross-Guided Feature Fusion with Intra-Modality Reweighting for Multi-Spectral Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Variational Wasserstein gradient flow.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Path Integral Sampler: A Stochastic Control Approach For Sampling.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved analysis for a proximal algorithm for sampling.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Variational Wasserstein gradient flow.

[BibT_eX]

[DOI]

CoRR, 2021

Covariance Steering for Nonlinear Control-affine Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Density control of interacting agent systems.

[BibT_eX]

[DOI]

CoRR, 2021

Stein particle filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Computation of Monge Maps with General Costs.

[BibT_eX]

[DOI]

CoRR, 2021

Learning High Dimensional Wasserstein Geodesics.

[BibT_eX]

[DOI]

CoRR, 2021

Diffusion Normalizing Flow.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Linearized Alternating Direction Method of Multipliers for a Special Three-Block Nonconvex Optimization Problem of Background/Foreground Extraction.

[BibT_eX]

[DOI]

IEEE Access, 2020

Nonlinear Covariance Control via Differential Dynamic Programming.

[BibT_eX]

[DOI]

Zeji Yi

Zhefeng Cao

Evangelos A. Theodorou

Proceedings of the 2020 American Control Conference, 2020

Mixed Norm ℋ2/ℋ∞ and Entropy Covariance Control: A Convex Optimization Approach.

[BibT_eX]

[DOI]

Wassim M. Haddad